50+ PowerBI Jobs in India

RCM Analytics Specialist – US Healthcare

Job Title: RCM Analytics Specialist

Department: Revenue Cycle Management (RCM)

Industry: US Healthcare / Medical Billing

Experience: 2–5 Years

Employment Type: Full-Time

Location: Mohali

Shift: US Shift / Night Shift

Work Mode: Work from Office

Job Summary

We are looking for an experienced RCM Analytics Specialist to analyze US Healthcare RCM data, prepare performance reports, identify trends and revenue gaps, and provide actionable insights to improve collections, reduce denials, and enhance operational performance.

Key Responsibilities

• Analyze US Healthcare RCM data to identify trends, gaps, operational issues, and areas for improvement.
• Prepare and maintain daily, weekly, and monthly RCM performance reports and dashboards.
• Analyze denial trends and identify root causes, including eligibility, authorization, coding, documentation, and payer-related issues.
• Track payer-wise and client-wise performance and identify potential revenue leakage.
• Analyze AR aging buckets and identify high-value or aging accounts requiring immediate attention.
• Develop reports to help management monitor team productivity, collections, quality, and financial performance.
• Prepare MIS reports, dashboards, ad-hoc analysis, and business insights for management.
• Present analytical findings and recommendations to management and operational stakeholders.

Required Skills & Qualifications

• 3–5 years of experience in US Healthcare RCM, Medical Billing Analytics, MIS, Business Analytics, or Healthcare Operations.
• Strong analytical and problem-solving skills.
• Good understanding of RCM metrics, reports, and operational KPIs.
• Ability to analyze large datasets and identify trends, discrepancies, and opportunities for improvement.

Preferred Skills

• Experience with Power BI or other BI/dashboarding tools.
• Knowledge of SQL and database querying.
• Advanced Excel skills, including Pivot Tables, XLOOKUP/VLOOKUP, SUMIFS/COUNTIFS, charts, and dashboards.
• Experience in developing automated MIS/RCM dashboards.

What We Offer

• Competitive Salary: ₹40,000 – ₹70,000 per month
• Attractive Incentives for experienced candidates
• Growth and career development opportunities
• Professional and collaborative work environment

Hiring AI ML Engineer

Exp : 8 - 11 yrs

Edu : BE/B.Tech/MCA

Work Location : Pune

Skills :

Experience with MLOps processes and tools.

Experience with SQL, Databricks, MLFlow and PowerBI/Tableau.

Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.

Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.

Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.

Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.

Working knowledge of Git, CI/CD, scripting, and production support practices would be advantageous.

About the Role

We are looking for an experienced Power BI Architect to lead enterprise-wide BI initiatives. This role will be responsible for designing, implementing, and governing scalable Power BI solutions across the organization. The ideal candidate will play a key role in establishing best practices, driving adoption, and owning the overall BI architecture within the Center of Excellence (CoE).

Key Responsibilities

• Lead end-to-end implementation of Power BI solutions across the enterprise
• Design scalable, secure, and high-performance BI architecture
• Act as the Power BI Architect, providing technical leadership and direction
• Own and drive BI governance, standards, and best practices within the CoE
• Collaborate with business and technology teams to translate requirements into robust BI solutions
• Define data modeling strategies, reporting frameworks, and dashboard standards
• Ensure data accuracy, consistency, and performance optimization across reports
• Support and guide development teams in Power BI implementation
• Enable enterprise-wide adoption of Power BI through training, documentation, and mentorship
• Work closely with IT/technology teams to integrate Power BI with data platforms and enterprise systems

Required Skills & Qualifications

• 10+ years of experience in BI/Data Analytics, with strong focus on Power BI
• Proven experience in enterprise-wide Power BI implementation
• Strong expertise in:
• Power BI (Desktop, Service, Gateway, Dataflows)
• Data Modeling (Star Schema, Snowflake Schema)
• DAX, Power Query (M language)
• Experience in designing and implementing BI architecture at scale
• Strong understanding of data warehousing concepts and ETL processes
• Experience working within a Center of Excellence (CoE) model
• Excellent stakeholder management and communication skills

Preferred Skills

• Experience with Azure (Azure Synapse, Data Factory, Data Lake)
• Knowledge of DevOps practices for Power BI (CI/CD pipelines)
• Exposure to governance tools and security frameworks
• Certification in Power BI / Microsoft Data Platform

About the role

We are building an operational decision product for a multi-site industrial network — recycling yards, reconditioning shops, inventory, freight, and scrap pricing.

The people who run that network today value inbound material, choose where to cut it, move recovered components to shops, and decide whether to sell or hold scrap. Those calls are made in spreadsheets, on different clocks, with incomplete numbers. We are replacing the spreadsheet with ranked options in dollars, and a clear reason for each ranking.

Source data is already in Snowflake. This role owns the gold layer

everything else depends on: valuation, forecasts, and a finance-facing measure of whether the recommendations paid off. If the grain is wrong, the recommendation is wrong.

What you’ll do

• Design and ship the Snowflake gold layer for the decisions above: on-hand inventory by grade and site, receipts and shipments, realised vs index prices, facility master, freight by lane, shop cost, demand and monthly commitments, and a log of recommendations accepted or overridden.
• Turn raw ERP and shop-floor extracts into tables with an explicit grain (lot, load, site × grade × month — not “whatever the source table was”).
• Build production incremental models in Snowflake (dbt or equivalent) across dev, test, and prod, with tests on uniqueness, grain, and freshness.
• Reconcile data that does not share a clean key across systems — inventory on one side, shop outcomes on the other — and document what can and cannot be joined.
• Surface missing or weak inputs (freight, capacity, operating cost) as labelled gaps. Do not drop a dimension to make a pipeline look complete.
• Work with yard ops, shop ops, and finance so a number in the product can be traced back to a source row and survive a challenge.
• Publish data contracts for downstream forecasting and for an auditable value ledger (recommendation vs what would have happened anyway).

What we’re looking for

• 5+ years building production analytical tables used by operators or finance, not only BI dashboards.
• Expert SQL: window functions, snapshot vs transaction grain, slowly changing inventory, incremental models.
• Snowflake in production — schemas, warehouses, roles, tasks, cost-aware design.
• Dimensional or medallion modeling you have shipped for inventory, cost, or multi-site operations.
• Python for profiling, tests, and supporting SQL models.
• Evidence you have been wrong about a column, found it in real data, and corrected the model.
• Comfort in the room with operators and finance, not only with other engineers.

Nice to have

• dbt on Snowflake, with tests in the merge.
• Manufacturing, remanufacturing, recycling, or metals.
• ERP / MES data (Infor LN or similar) already landed in a warehouse.
• Commodity price or freight/lane-rate data.
• Feature tables or point-in-time snapshots for machine learning.
• Numbers that had to pass a finance or audit review.
• Gold inventory and movement spine: grade × site × time, tested.
• Incremental models from at least two source databases into gold, with freshness alerting.
• Source-to-gold map for the tables the valuation calc needs — real, assumed, and still missing.
• A written position on the hardest cross-system join: what links, at what grain, and what does not.

Job Summary

We are seeking a skilled and detail-oriented Power BI Developer to design, develop, and maintain enterprise-level BI solutions. The ideal candidate should have strong expertise in Power BI, DAX, SQL, Data Modeling, and performance optimization tools such as DAX Studio, Tabular Editor, and ALM Toolkit. The candidate will collaborate with business stakeholders to transform data into actionable insights and deliver high-quality dashboards and reports.

Key Responsibilities

• Design, develop, and maintain interactive Power BI dashboards and reports.
• Create complex DAX measures, calculated columns, and calculated tables to meet business requirements.
• Develop and optimize SQL queries, stored procedures, views, and ETL processes.
• Design and implement scalable Star Schema and Snowflake Data Models.
• Perform report and model performance tuning using DAX Studio.
• Utilize Tabular Editor for model management, calculation groups, best practice analysis, and metadata enhancements.
• Manage model deployment, comparison, and version control using ALM Toolkit.
• Configure and manage Power BI Workspaces, Apps, Gateways, and Security (RLS/OLS).
• Work extensively with Power BI Service/Web Experience, including dataset refresh schedules, deployment pipelines, subscriptions, and workspace administration.
• Collaborate with business users to gather and analyze reporting requirements.
• Ensure data accuracy, governance, security, and report performance.
• Troubleshoot data-related issues and implement effective solutions.
• Create technical documentation and provide knowledge transfer to support teams.

Required Skills

Technical Skills

• Strong experience in Microsoft Power BI Development.
• Expertise in DAX (Data Analysis Expressions).
• Advanced knowledge of SQL Server/T-SQL and query optimization.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables).
• Hands-on experience with Tabular Editor.
• Experience using DAX Studio for model and query performance tuning.
• Experience with ALM Toolkit for model comparison and deployment.
• Strong understanding of Power BI Service/Web Experience.
• Knowledge of Power Query (M Language).
• Experience with Row-Level Security (RLS) and data governance.
• Understanding of data warehousing and ETL concepts.

Data & BI Support Specialist - JD

Professional Work Experience

• Microsoft SQL Server skills including SSIS, SSAS, DW and Power BI

• ADF, Databricks and Azure synpase skills will be preffered

• Excellent E-Mail and phone communication skills

• Experience in guiding BI Support Engineers

• Experience in global environment

• Ability to read code and support applications, reports and processes

• Excellent analytical and problem-solving skills

• Ability to contribute both independently and as part of a team

• Excellent listening, communication, interperson

• Excellent analytical and problem-solving skills

Looking for a strong Microsoft SQL Server + SSIS resource with L1, L2, L3 (mix) Production Support experience. Role is 75% support and 25% development. Candidate should be able to troubleshoot existing SQL code, ETL jobs, incidents, and perform RCA. Power BI is only 10%. Please prioritize SQL Support Engineers, SSIS Developers, and SQL Developers with production support exposure

Role Summary:

We are looking for an experienced Snowflake Lead to lead the design, development, migration, and optimization of enterprise data platforms using Snowflake. The candidate will provide technical leadership to data engineering teams and work closely with architects, business stakeholders, and application teams.

Key Responsibilities

• Lead the architecture and development of scalable Snowflake data warehouse solutions.
• Design and develop scalable Azure Data Factory (ADF) pipelines for API-based and batch data ingestion, implementing parameterized workflows, scheduling, and error handling.
• Build and optimize enterprise Snowflake data warehouse solutions using Snowflake SQL, Streams, Tasks, Stored Procedures, VARIANT data type, and LATERAL FLATTEN for semi-structured JSON processing.
• Integrate GraphQL and REST APIs using OAuth 2.0, implementing secure API authentication, JSON parsing, and API validation using Postman.
• Develop cloud-based data ingestion solutions using Azure Data Lake Storage Gen2 (ADLS) as the landing layer and Azure Key Vault for secure credential management.
• Design metadata-driven ELT frameworks with incremental loading, audit logging, watermark processing, and automated data orchestration.
• Optimize Snowflake performance through warehouse sizing, query tuning, clustering strategies, Time Travel, Cloning, and warehouse management best practices.
• Collaborate with DevOps teams using Azure DevOps for source control, CI/CD deployment, release management, and Agile delivery.
• Design dimensional data models, build curated data marts, and support enterprise reporting and analytics requirements.
• Develop and maintain Power BI semantic models, datasets, dashboards, and reports; knowledge of DAX, Power Query, and data visualization best practices is preferred.
• Work closely with business stakeholders, solution architects, and cross-functional teams to deliver secure, scalable, and high-performance cloud data platform solutions.

Thanks,

Mounika P

Role Summary

We are looking for an accomplished PowerBi Solution architect to architect and drive scalable, insight-rich analytics solutions across the enterprise. This role sits at the intersection of data engineering, business intelligence, and solution architecture—ideal for a candidate with mastery of modern visualization tools, modeling strategies, and end-to-end data integration.

Key Responsibilities

● Architect and implement scalable Power BI solutions that span data modeling, integration, visualization, and performance tuning

● Design and lead the development of enterprise-grade data models using Star, Snowflake, and composite architecture

● Lead the integration of cloud-based data warehouse platforms including Oracle ADW and Snowflake

● Lead the development of scalable, interactive dashboards using Power BI, driving self-service analytics across business units

● Develop ETL and ELT pipelines to ingest and transform structured, semi-structured, and API-driven data sources

● Implement automated data ingestion and transformation using Python and shell scripting for performance and reliability

● Handle and harmonize data from diverse API sources across applications, platforms, and third-party services

● Deliver interactive dashboards and storytelling experiences tailored for executives, analysts, and operational teams

● Optimize semantic layers, DAX calculations, and deployment pipelines for reusability and governance

● Mentor BI developers and analysts, setting architectural standards and fostering collaboration across analytics teams

● Collaborate with cross-functional teams to translate strategic business goals into robust analytics solutions

Required Qualifications

● 8+ years in Power BI development and analytics Engineering, with 3+ years in architecture leadership roles

● Strong command of DAX, M Query, and performance tuning best practices

● Deep experience in data modeling (Star, Snowflake, composite) and cross-platform architecture

● Hands-on expertise in Oracle ADW, Snowflake, and API-based data ingestion

● Proficiency in Python, shell scripting, and automation of analytics pipelines

● Strong background in ETL/ELT development, data quality assurance, and deployment orchestration

● Demonstrated success in solution architecture across cloud ecosystems such as Azure, Oracle OCI

Preferred Skills

● Experience with Power BI Premium capacity management and deployment pipelines

● Experience with DAX, M language, and performance tuning technique

● Experience integrating third-party BI tools, data lakehouses, and stream processing services

● Effective communicator capable of translating technical architecture into business value

● Exposure to MS Fabric and Azure Data Factor

Business Analytics Developer

Experience – 6 - 8 years

Location – Remote (India)

The Business Analytics Developer works within the Analytics team developing and maintaining a data-driven approach to decision making across the company. The Business Analytics Developer is responsible for developing SSRS Reports as well as Power BI Dashboards fulfilling requested business objectives. The Business Analytics Developer is also responsible for developing and maintaining key performance indicators (KPIs) that provide actionable insights. This role collaborates closely with business stakeholders, product owners, and subject matter experts to develop a strong understanding of the data and ensure deliverables meet defined needs.

Responsibilities -

• Translate requirements into technical specifications for reporting

• Review stakeholder business specifications for understanding development needs

• Design and develop custom data analytics solutions (SSRS and SQL stored procedures, views, and functions)

• Design and develop Power BI Reports and Dashboards for meeting business stakeholder needs

• Design, develop, and thoroughly test all developed scripts

• Perform ad hoc data analysis as needed or required

• Monitor KPIs and create alerts when thresholds are met or exceeded

• Use advanced-level calculations on a data set using DAX functions within Power BI

• Test all dashboard visualizations and code, ensuring functionality and expected performance measures

• Fully document the process used and the methodologies implemented

• Train and support end users in using Power BI dashboards

• Ensure data security and compliance with best practices following internally provided SQL Standards

Requirements -

• Minimum 6-8 years Power BI Development experience

• Minimum 6-8 years SSRS development experience

• Minimum 6-8 years T-SQL development experience

• Proficiency in Power BI Development, including report and dashboard creation

• Solid understanding of data modeling and data visualization best practices

• Experience with T-SQL for data manipulation, using stored procedures and views

• Familiarity with ETL/ELT (Extract, Transform, Load | Extract, Load Transform) processes

• Knowledge of Data Analysis Expressions (DAX) for creating calculations

• Excellent attention to detail and problem-solving skills

• Excellent communication and collaboration skills

• Proven ability to effectively communicate complex technical information to non-technical audiences

• Ability to work independently and/or as a part of a team

• Adaptability to ever-changing business requirements

• Ability to build rapport, cultivate working relationships and drive collaboration across teams

• Bachelor’s degree in computer science, relevant fields, and/or equivalent work experience

• Microsoft Power BI Data Analyst Associate, Data Analyst Associate, or Azure Data Scientist Associate Certification is a plus

About the Role

We are looking for a motivated Data Engineer with 2+ years of professional experience to join our team. You will be responsible for designing, developing, and maintaining scalable data pipelines and cloud-based data solutions while taking ownership across the full software development lifecycle.

The ideal candidate will have strong experience in modern data engineering practices, cloud platforms, and marketing/advertising data integrations such as Google Ads, Meta Ads, and analytics platforms.

This role is suited for someone who enjoys solving complex data challenges, building reliable systems, and working in a fast-paced environment.

Key Responsibilities

• Design, build, and maintain scalable and reliable ETL/ELT data pipelines.
• Develop and optimize data models, transformations, and warehouse solutions for analytics and reporting.
• Work with marketing and advertising datasets from platforms such as Google Ads, Meta Ads, Google Analytics, and similar ecosystems.
• Integrate APIs, third-party systems, and cloud-native services into data workflows.
• Optimize complex SQL queries and improve pipeline performance and reliability.
• Implement data quality checks, monitoring, and observability across pipelines.
• Collaborate with cross-functional teams including product, analytics, and engineering teams to deliver data-driven solutions.
• Contribute to software engineering best practices including Git workflows, CI/CD pipelines, testing, and documentation.
• Participate in architecture discussions and help improve data platform standards and best practices.
• Build and maintain solutions within Google Cloud Platform (GCP) environments.

Qualifications

• 2+ years of professional experience in Data Engineering or related fields.
• Strong proficiency in Python programming.
• Advanced SQL skills with experience in query optimization and data warehousing concepts.
• Experience working with marketing and advertising platforms such as Google Ads, Meta Ads, Google Analytics, DV360, or similar platforms.
• Experience working with AI-assisted coding and development tools such as Claude Code, Cursor, or similar platforms
• Hands-on experience leveraging AI-based development tools to accelerate data engineering implementation and automation
• Familiarity with AI-powered coding assistants and agentic development workflows
• Understanding of marketing data pipelines, attribution reporting, campaign analytics, or customer analytics is highly desirable.
• Hands-on experience with at least one major data engineering technology such as Airflow, Spark, Kafka, Databricks, or similar frameworks.
• Strong experience with Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, Cloud Functions, GCS, or Composer.
• Familiarity with APIs, Linux environments, CLI tools, Git, and CI/CD workflows.
• Strong understanding of data pipeline design, orchestration, monitoring, and troubleshooting.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and contribute across multiple technical domains.

Who are we?

Inflexion Analytics is a team of data science and analytics consultants based in London, UK, and Bangalore India. Founded in 2015, we have built a strong track record and foundation serving demanding clients. We are now looking to achieve significant growth and become a leading specialist consultancy in the data science field.

What we do?

We help businesses to improve performance through better insight and decision-making. To achieve this, we offer services across the data science value chain including; data strategy, data engineering, data insights, and visual analytics. We work with a global client base, including clients based in the US, UK, Europe, and Australia. 

Job Summary

We are looking for a skilled and experienced Data Engineer to join our growing data team. The ideal candidate will have strong expertise in Python, PySpark, Data Modeling, and Power BI, with hands-on experience in designing, developing, and optimizing scalable data solutions. The role requires working closely with business stakeholders, data architects, and analytics teams to build robust data pipelines and semantic models that enable data-driven decision-making.

Technical Skills

• Strong hands-on experience in Python and PySpark development.
• Expertise in building and optimizing Data Engineering solutions and ETL pipelines.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
• Experience with Power BI Data Modeling and Semantic Layer development.
• Proficiency in DAX (Data Analysis Expressions).
• Experience designing and managing Semantic Models in Power BI.
• Strong SQL skills and experience working with large datasets.
• Knowledge of data warehousing concepts and best practices.

Preferred Skills

• Experience with cloud platforms such as Azure, AWS, or GCP.
• Exposure to modern data platforms like Databricks.
• Understanding of data governance and data quality frameworks.

Experience: 4–6 Years

Domain: Automotive IoT | Connected Vehicles | Firmware & OTA

Core Stack: Rust | AWS | IoT Core | Apache Kafka | MemoryDB

Key Responsibilities  

OTA & Firmware Lifecycle  

• Co-own OTA firmware rollout operations across multi-ECU connected vehicle architectures.
• Design automated mechanisms to detect update failures, network interruptions, verification errors, and stalled deployments.
• Implement deterministic retry, recovery, and rollback mechanisms to ensure reliable firmware updates without vehicle bricking.
• Ensure firmware package integrity, signature validation, and data security throughout the OTA pipeline.

Data Engineering & Telemetry  

• Design and maintain real-time streaming pipelines for vehicle telemetry, heartbeats, OTA campaign status, and ECU state changes.
• Build high-throughput data services and workers using Rust for payload routing, processing, and verification.
• Use Apache Kafka and AWS IoT Core for real-time data ingestion and event streaming.
• Leverage AWS MemoryDB for Redis for low-latency fleet state, campaign progression, and session management.
• Build resilient pipelines capable of handling intermittent connectivity, noisy networks, and out-of-order data.

Monitoring & Analytics  

• Build real-time dashboards for fleet health, firmware versions, OTA campaigns, and update progress.
• Define and monitor key OTA metrics including success/failure rates, retry rates, failure categories, and completion time.
• Implement automated alerting and anomaly detection for unexpected failure spikes during staged or canary rollouts.
• Analyze logs, traces, and telemetry data to identify campaign bottlenecks, telemetry loss, and hardware-related failures.

Required Skills  

Mandatory  

• 4–6 years of experience in Data Engineering, Software Engineering, or IoT Backend Engineering.
• Strong hands-on experience with Rust for backend/data processing applications.
• Experience with AWS, particularly IoT Core, S3, ECS/EKS, and Lambda.
• Strong experience with Apache Kafka and real-time data pipelines.
• Hands-on experience with AWS MemoryDB for Redis or Redis Enterprise.
• Working knowledge of Python and SQL.
• Experience with MQTT, WebSockets, and HTTP/S protocols.
• Strong understanding of distributed systems, streaming data, and resilient data pipelines.

Preferred  

• Experience with firmware lifecycle management and OTA systems.
• Exposure to connected vehicles, automotive IoT, telemetry platforms, or connected hardware fleets.
• Experience with device shadows and fleet/device state management.
• Experience building telemetry dashboards using Power BI, Apache Superset, or custom dashboards.
• Experience with staged/canary deployments and automated failure recovery.

Primary Technology Stack  

• Languages: Rust, Python, SQL
• Cloud: AWS, IoT Core, S3, ECS/EKS, Lambda
• Streaming: Apache Kafka
• Caching & State: AWS MemoryDB for Redis, Redis
• IoT Protocols: MQTT, WebSockets, HTTP/S
• Analytics & Visualization: Power BI, Apache Superset
• Domain: Automotive IoT, Vehicle Telemetry, OTA, Firmware Management

Experience Required: Minimum 8 Years

About the Role:

Key Responsibilities

• Design and manage organization-wide MIS reports, dashboards, and executive reports.
• Develop automated reporting solutions using Python, VBA Macros, Power Query, and Advanced Excel.
• Analyze large datasets and provide business insights to leadership.

Eligibility Criteria

• 5+ years of experience in Business Intelligence, MIS, Business Analytics, or Data Analytics.
• Strong analytical and logical thinking with the ability to understand business requirements and convert data into meaningful business insights.
• Experience in developing dashboards and management reports using any Business Intelligence tool (Power BI, Tableau, Zoho Analytics, etc.).

Apply Now:

https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

Title                                 : Power BI and Microsoft Fabric

Experience                    : 5+ years

Location                         : Remote

Work type                      : Remote

Notice Period               : Immediate

Work Day                      : Mon to Fri

Role Overview

We are seeking an experienced Power BI & Microsoft Fabric Consultant to partner with our BI team for a short-term engagement focused on capability building, governance setup, and platform enablement.

The primary objective of this role is to upskill the team and establish a robust, scalable foundation for Power BI and Microsoft Fabric—covering security, governance, administration, and best practices—so that the team can independently manage and scale the platform post-engagement.

This is a hands-on + coaching role, not just advisory.

Key Responsibilities

1. Power BI & Fabric Enablement

• Conduct structured training sessions and workshops on: 
• Power BI (Pro + Fabric-integrated experiences) 
• Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, etc.) 
• Build foundational understanding of: 
• End-to-end analytics workflows in Fabric 
• Integration between Power BI and Fabric workloads 
• Data Lake will be Snowflake

2. Governance & Security Framework

• Design and implement Power BI & Fabric governance model, including: 
• Workspace strategy (Dev/Test/Prod separation) 
• Naming conventions and standards 
• Content lifecycle management 
• Establish security architecture: 
• Role-based access control (RBAC) 
• Row-Level Security (RLS) / Object-Level Security (OLS) 
• Data access patterns across Fabric and Power BI 
• Define data sharing and access control processes

3 Administration & Platform Setup

• Configure and optimize: 
• Power BI tenant settings 
• Fabric capacity (capacity planning, workload management) 
• Monitoring and usage metrics 
• Set up: 
• Deployment pipelines 
• CI/CD best practices (where applicable) 
• Audit logs and governance controls 

4. Best Practices & Standards

• Define and document: 
• Development standards (data modeling, DAX, report design) 
• Performance optimization guidelines 
• Dataset/reusable semantic model strategy 
• Establish certification and promotion workflows for datasets and reports 

5. Hands-On Implementation

• Work alongside the team to: 
• Build or refactor key dashboards/reports using best practices 
• Set up Fabric artifacts (Lakehouse/Warehouse/Pipelines) 
• Ensure real use cases are implemented, not just theoretical training 

6. Knowledge Transfer & Self-Sufficiency

• Provide: 
• Playbooks, SOPs, and governance documentation 
• Recorded sessions and training materials 
• Mentor team members through: 
• Office hours / Q&A sessions 
• Code and architecture reviews 
• Ensure the team can independently: 
• Manage Fabric capacity 
• Govern Power BI environment 
• Implement secure and scalable solutions 

Expected Outcomes (End of Engagement)

• Fully defined and implemented Power BI & Fabric governance framework
• Configured and optimized Fabric capacity + Power BI tenant
• Established security and access control processes
• Documented standards, playbooks, and operating model
• BI team capable of independent development, administration, and governance

Required Skills & Experience

Must-Have

• 5+ years of experience in Power BI development and administration
• Hands-on experience with Microsoft Fabric (end-to-end)
• Strong expertise in: 
• Power BI governance and tenant administration 
• Fabric capacity management 
• Security models (RLS, RBAC, data access controls) 
• Experience setting up enterprise BI governance frameworks
• Proven track record of training and mentoring teams

Good-to-Have

• Experience with data platforms (Snowflake, Azure, etc.)
• Knowledge of CI/CD for Power BI (DevOps integration)
• Familiarity with data catalog and lineage tools (e.g., Atlan, Alation)
• Understanding of modern architecture

Core Responsibilities

• Data Modeling & Architecture: Designing scalable data models using Star Schema principles. This includes managing relationships, hierarchies, and ensuring the model can handle growing data volumes without slowing down.
• DAX Development: Writing advanced Data Analysis Expressions (DAX) to create complex measures for KPIs, time-intelligence (e.g., Year-over-Year growth), and custom business logic.
• ETL & Data Transformation: Using Power Query (M language) to extract data from various sources (SQL, APIs, Excel, Cloud), clean it, and optimize it through techniques like Query Folding.
• Dashboard & Report Design: Creating intuitive, interactive, and visually compelling reports. This involves selecting the right visuals to tell a "data story" rather than just showing numbers.
• Performance Optimization: Tuning slow reports by analyzing query plans, reducing dataset sizes, and implementing Incremental Refresh for large datasets.
• Governance & Security: Implementing Row-Level Security (RLS) to ensure users only see data they are authorized to view and managing workspace permissions within the Power BI Service.

🛠 Technical Skill Set

1. Expert Level (Power BI Stack)

• Power BI Desktop: Full mastery of the authoring tool.
• DAX & M: Proficiency in both the functional and transformation languages.
• Power BI Service: Understanding of workspaces, gateways, apps, and scheduled refreshes.

2. Supporting Technical Skills

• SQL (Critical): Most "Power BI" jobs are actually 50% SQL jobs. You must be able to write complex queries to pull and pre-filter data at the source.
• Data Warehousing: Familiarity with Snowflake, Azure Synapse, or Databricks.
• Python/R: (Optional but preferred) For advanced statistical modeling or custom visuals.

3. Soft Skills

• Requirement Gathering: The ability to interview stakeholders to understand what business problem they are trying to solve.
• UI/UX Design: A "design eye" to create clean, non-cluttered dashboards.

Job Title: Power BI Developer

Experience: 4+ Years

Location: Pune, Thane (Maharashtra), Indore (Madhya Pradesh)

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Description:

• Develop and maintain database and ETL solutions using Microsoft Fabric.
• Create interactive dashboards and reports using Power BI (preferred).
• Work with Qlik Sense or other data visualization tools.
• Write and optimize SQL queries for data analysis and reporting.
• Collaborate with business teams to understand reporting requirements and deliver data solutions.

Required Skills:

• Microsoft Fabric
• Power BI
• Qlik Sense or any Data Visualization Tool
• SQL
• MySQL

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Job Title: 

Role Overview

We are seeking a high-performing Senior Power BI Analyst / Developer to design, build, and optimize our next-generation enterprise analytics platform. In this role, you will be the core architect of our data visualization layer, turning complex data streams into actionable executive insights.

The ideal candidate bridges the gap between traditional business intelligence and modern cloud data engineering. You will be responsible for building highly performant, scalable data models on Azure and creating seamless, near real-time reporting solutions utilizing streaming data and Change Data Capture (CDC) pipelines.

Key Responsibilities

1. Advanced Data Modeling & Performance Tuning

Design, implement, and maintain enterprise-grade, highly scalable data models (Star and Snowflake schemas) within Power BI and Azure Analysis Services/Fabric.

Optimize complex DAX queries, M code, and data loading processes to ensure sub-second dashboard responsiveness on large-scale datasets.

Implement advanced performance-tuning strategies, including aggregations, incremental refreshing, and hybrid tables (combining Import and DirectQuery).

2. Streaming Analytics & Real-Time Reporting

Architect and implement near real-time dashboards utilizing Power BI streaming datasets, push datasets, and automatic page refreshes.

Integrate reporting front-ends with modern Change Data Capture (CDC) architectures to surface low-latency transactional updates.

Partner with data engineering teams to ingest and model fast-moving event data coming from cloud streams into analytical reporting structures.

3. Azure Architecture Integration

Leverage the Azure data stack (Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Databricks, and Azure SQL DB) to build robust downstream reporting layers.

Participate in the orchestration of data pipelines (using Azure Data Factory or Synapse pipelines) to align with dashboard refresh schedules.

Embrace modern Power BI developer workflows using Tabular Editor, ALM Toolkit, DAX Studio, and Git integration for version control.

Required Technical Skills & Qualifications

Experience: 3-5+ years of dedicated experience developing, modeling, and tuning enterprise Power BI solutions, with at least 2+ years operating within an Azure cloud ecosystem.

Expert DAX & Power Query: Mastery of complex DAX computations (time-intelligence, advanced filtering) and optimized M-code data transformations.

Modern Data Paradigms: Proven experience handling Streaming Data or CDC (Change Data Capture) patterns (e.g., streaming from Debezium, Azure Event Hubs, Kafka, or Synapse Link) into Power BI.

Azure Stack Expertise: Solid working knowledge of Azure data resources (Synapse, Data Factory, Azure SQL, or Azure Fabric Lakehouses).

Data Engineering Concepts: Deep understanding of data warehousing concepts, including slowly changing dimensions (SCDs), partitioning, and indexing strategies.

Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field (or equivalent practical experience).

Preferred (Nice-to-Have) Skills

Microsoft Certifications: PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer).

Experience with CI/CD deployment pipelines for Power BI deployment pipelines or Azure DevOps.

Familiarity with SQL performance tuning (analyzing execution plans, optimizing views, and indexing).

The Business Operations team is seeking an intern to help run the daily engine that keeps our sales pods accountable and drives how we scale. This role offers exposure to the full BizOps stack — compliance auditing, process improvement, sales enablement, and the BPM and automation work that is transforming manual operations into streamlined workflows. Ideal candidates are sharp, operations-minded, and eager to build a foundation at the intersection of business operations and process automation. 

Responsibilities: 

• Run daily and weekly compliance audits across our sales-pod SOPs, upholding consistency and quality across every pod 
• Review CRM records - call logs, notes, next steps, task completion, and data completeness - to keep pipeline data accurate and decision-ready 
• Turn audit findings into signal, surfacing the recurring gaps and bottlenecks that point to where process should be tightened, standardized, or automated 
• Feed the BPM and automation initiatives, helping identify manual checks that can move into automated workflows and validating that they work as intended 
• Support sales enablement by helping keep the SOPs, trackers, and playbooks our pods rely on sharp and current 
• Assist with documentation of business processes, workflows, and team procedures 

Job Title: Data Operations Specialist

Location: Jaipur (Candidates should be ready to relocate) (Nearby Locations)

Experience: 4–6 Years

Employment Type: Full-Time, Permanent

CTC: Up to ₹8 LPA

Shift Timings: 10:00 AM – 7:00 PM IST

Reporting To: VP – Delivery / Manager (as assigned)

About the Role

We are looking for a detail-oriented and analytical Data Operations Specialist to support our data-driven initiatives by ensuring the accuracy, consistency, and reliability of business data. The ideal candidate will have hands-on experience in data operations, SQL, ETL processes, and data quality management while collaborating with cross-functional teams to optimize data workflows and support business decision-making.

Key Responsibilities

• Execute data collection, enrichment, validation, and delivery activities for internal and customer projects.
• Monitor and improve data quality by identifying inconsistencies, resolving discrepancies, and implementing corrective measures.
• Develop and optimize SQL queries for data extraction, validation, and reporting.
• Collaborate with Engineering teams to support data integration, automation, and scalable data processes.
• Partner with Product, Business, and Operations teams to understand data requirements and deliver accurate datasets.
• Maintain data integrity by following data governance standards and quality assurance best practices.
• Validate and integrate external data sources and vendor-provided datasets.
• Support continuous improvement initiatives for data workflows and operational efficiency.
• Create reports and dashboards using data visualization tools to provide actionable business insights.
• Ensure compliance with organizational data standards and privacy regulations.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 4–6 years of experience in Data Operations, Data Management, Business Intelligence, or Data Analytics.
• Strong understanding of Data Governance, ETL processes, Data Validation, and Data Quality methodologies.
• Proficiency in SQL for querying and data manipulation.
• Advanced knowledge of Microsoft Excel or Google Sheets.
• Experience working with data visualization tools such as Power BI, Tableau, or similar platforms.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Ability to work independently and deliver reliable, high-quality solutions.
• Excellent verbal and written communication skills in English.
• Experience collaborating with cross-functional teams in a fast-paced environment.

Preferred Skills

• Experience with Python scripting or automation tools.
• Exposure to SaaS, B2B Data, Lead Intelligence, or Data Enrichment platforms.
• Knowledge of GDPR, CCPA, and other data privacy regulations.
• Familiarity with data integration tools and workflow automation.
• Ability to thrive in global and remote collaborative environments.

Only Immediate joiners are considered.

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

Role: Senior Engineer (Cloud Cost Optimization Engineer – Azure FinOps)

Employment Type: Permanent with VDart Digital

Work Location: Remote

Project Description -

Identify and implement cost optimization opportunities across Azure, Databricks, Snowflake, Power BI, and enterprise data platforms.

Drive resource rightsizing, utilization improvements, and governance initiatives.

Build automation, monitoring, and proactive cost controls.

Implement FinOps best practices, cost allocation models, and optimization guardrails.

Partner with engineering and business teams to deliver sustainable cloud savings.

Develop dashboards, reporting, and executive insights on cloud spend and optimization opportunities.

Agentic AI Automation for all the above use cases

Key Skills

• Cloud Cost Optimization & FinOps

• Azure Cost Management

• Databricks Optimization (Photon, Spot Instances, Auto-Termination)

• Snowflake Warehouse & Storage Optimization

• Power BI Capacity Optimization

• Python / PowerShell Automation

• Terraform / Infrastructure as Code

• Azure DevOps & CI/CD

• Resource Rightsizing & Capacity Planning

• Cost Governance, Azure Policy & RBAC

• Cost Analytics, Reporting & Forecasting

Preferred Experience

• 5+ years of experience in Cloud Engineering, Platform Engineering, FinOps, DevOps, or Infrastructure Optimization.

• Hands-on experience with Azure and enterprise-scale cloud environments.

• Proven track record of delivering measurable cloud cost savings and optimization outcomes.

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·    The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·    Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·    Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·    Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·    Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·    We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·    Wissen Technology has been certified as a Great Place to Work®.

·    Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·    Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·    We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Title: Azure Fabric Data Engineer / AI Engineer

Experience: 4–8 Years

Location: Pune(Hybrid)

Job Summary

We are seeking Azure Fabric Data Engineers with experience in data engineering, Power BI, and AI to build modern data platforms and AI-driven solutions on Microsoft Fabric.

Key Responsibilities

• Develop ETL/ELT pipelines using Microsoft Fabric.
• Integrate data from multiple enterprise systems into Fabric.
• Build and optimize Lakehouse and Data Warehouse solutions.
• Develop Power BI dashboards and reports.
• Build AI-powered applications, AI Agents, and chatbots using Azure AI Services and Azure OpenAI.
• Collaborate with business and technical teams to deliver scalable analytics solutions.

Required Skills

• Microsoft Fabric
• Data Engineering and ETL/ELT
• SQL, Python, PySpark
• Power BI
• Azure AI Services / Azure OpenAI
• Data Modeling
• Git and Azure DevOps

Preferred: Experience with Financial Services/Capital Markets, Generative AI, RAG, or LLM-based applications.

Please find below the job description for Senior Azure Fabric Data Architect role with Wissen Technology.

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Job Description:

Experience: 8–15+ Years

Location: Wissen Office (Pune/Bengaluru)

Position: 1

Job Summary

We are looking for an experienced Azure Fabric Data Architect to lead the design and implementation of an enterprise data platform on Microsoft Fabric. The role involves architecting scalable data solutions, defining data governance, and enabling AI-driven analytics for a global financial services client.

Key Responsibilities

• Design end-to-end data architecture using Microsoft Fabric.
• Build enterprise Lakehouse, Data Warehouse, and OneLake solutions.
• Define data ingestion, ETL/ELT, governance, security, and performance strategies.
• Lead architecture for AI-powered analytics, AI Agents, and enterprise chatbots using Azure AI services.
• Work with business stakeholders to translate requirements into technical solutions.
• Mentor engineering teams and provide technical leadership.

Required Skills

• Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse, OneLake)
• Azure Data Engineering
• Power BI
• Azure AI Services / Azure OpenAI
• Data Architecture & Data Modeling
• SQL, Python
• Azure DevOps, CI/CD
• Strong stakeholder management and solution design experience

We are seeking a talented Senior Power BI Engineer to join our team and deliver high-quality business intelligence solutions for our clients.

Technical Skills:

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)
• Looking out for only immediate joiners

Responsibilities:

• Design, develop, and deploy interactive Power BI dashboards and reports for client projects
• Build and optimize data models using star schema and snowflake schema design patterns
• Develop complex DAX measures and calculated columns to support business requirements
• Connect to and integrate data from multiple sources including SQL databases, Excel, APIs, cloud platforms, and data warehouses
• Implement data transformation and cleansing using Power Query (M language)
• Collaborate with clients and stakeholders to gather requirements and translate business needs into technical specifications
• Optimize report performance through query optimization, aggregations, and efficient data modeling
• Configure and manage Power BI Service including workspaces, datasets, dataflows, and row-level security (RLS)
• Create and maintain documentation for data models, reports, and development processes
• Provide training and support to end-users on Power BI reports and dashboards
• Design and implement custom visualizations using Power BI custom visuals and third-party visual libraries.
• Implement conditional formatting, dynamic titles, and dynamic content based on user selections
• Stay current with Power BI updates, new features, and industry best practices

Key Responsibilities

1. Data Management & Reporting

• Collect, clean, validate, and consolidate data from multiple internal and external sources.

• Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

• Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

• Manage and regularly update internal databases, spreadsheets, and reporting systems.

• Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

• Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

• Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

• Translate data findings into clear, actionable insights and recommendations to support strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

• Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

• Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

• Proactively suggest new automation tools, system enhancements, or integrations to improve efficiency, accuracy, and scalability.

• Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

• Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

• Collaborate with Sales, HR, Finance, Operations, and other departments to understand reporting and data requirements.

• Provide support for ad-hoc analysis, custom reports, and special data requests.

• Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

• Maintain complete and updated documentation for MIS processes, reports, data models, automation logic, and system changes.

• Ensure compliance with company data governance policies and applicable data protection standards.

________________________________________

System Development & Data Structuring Responsibilities

• Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

• Review existing manual and digital data systems to identify operational gaps, risks, and improvement opportunities.

• Recommend structured data models, reporting formats, and storage solutions aligned with business requirements.

• Coordinate with department heads to define data structures, access levels, and reporting standards.

• Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP integrations) with minimal operational disruption.

• Design structured data formats and role-based access controls to ensure secure and organized data management.

• Train employees on newly implemented systems and provide post-implementation support.

• Monitor system performance, resolve issues, and continuously improve systems based on user feedback and organizational growth.

________________________________________

Qualifications & Experience

• Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

• 3–5 years of experience in data analytics, reporting, or system automation roles.

• Strong analytical thinking, logical reasoning, and problem-solving abilities.

• High attention to detail with excellent organizational and documentation skills.

________________________________________

Technical Skills (Must Have)

• Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

• SQL: Complex joins, subqueries, CTEs, performance tuning

• Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)

• BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

• Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema

Job Title : Report (Power BI) Engineer / Developer

Experience : 5+ Years

Work Mode : Remote (4 days/month office visit)

Locations : Noida, Hyderabad, Chennai, Pune, Bengaluru

Job Summary :

We are looking for an experienced Report (Power BI) Engineer / Developer to design and develop business-critical reporting solutions. The ideal candidate should have strong expertise in Power BI dashboards and paginated reports, along with hands-on experience in SQL Server, Snowflake, and Databricks.

Mandatory Skills :

Power BI, Power BI Dashboards, Paginated Reports, SQL Server, T-SQL, Snowflake, Databricks, Data Warehousing, ETL, SQL Query Optimization.

Key Skills Required :

• 5+ years of experience in Power BI development.
• Strong hands-on experience with Power BI Dashboards and Paginated Reports.
• Excellent knowledge of SQL Server and T-SQL development.
• Experience with Snowflake and Databricks.
• Understanding of data warehousing concepts, ETL processes, and SQL performance optimization.
• Strong communication and collaboration skills.

Preferred Skills :

• Experience with cloud data modernization projects.
• Knowledge of data security and compliance practices.

Note : Comprehensive background verification, including education, employment, criminal, credit, and drug screening, is mandatory.

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

Experience: 2+ Years

Mandatory Skills: Data Analysis, Data Mining, Data Validation, Python, SQL, Power BI, Advanced Excel

Data Analyst

We are looking for 1 Developer/Analyst to support data analysis, data mapping, and report automation initiatives. This is an entry-level role with structured training, ideal for candidates who are detail-oriented, proactive, and capable of working independently in a fast-paced environment.

Key Responsibilities

• Perform data analysis and data validation across various datasets.
• Execute data mapping activities between source and target systems.
• Support report automation and templating tasks (training will be provided).
• Participate in User Acceptance Testing (UAT) to validate report outputs and workflows.
• Manage multiple report automation tasks simultaneously with strong attention to timelines.
• Proactively provide status updates, identify risks, and escalate blockers in a timely manner.
• Ensure high-quality delivery without requiring follow-ups or supervision.
• Collaborate closely with the client team (onshore/offshore alignment as applicable).

Key Skills & Qualifications

• Bachelor’s degree in Engineering, Computer Science, IT, or a related field.
• Strong analytical and problem-solving skills.
• Basic understanding of data handling, Excel, and reporting concepts.
• Ability to manage multiple tasks and meet committed deadlines.
• Strong communication skills (verbal and written).
• High level of ownership, accountability, and self-driven execution.

Preferred Skills (Good to Have)

• Exposure to Seismic and/or SmartDX platforms.
• Familiarity with reporting tools, data transformation, or automation concepts.
• Prior internship/project experience in data analysis or reporting.

• Design and develop interactive dashboards and reports using Power BI Desktop and Power BI Service.
• Connect, clean, and transform data from multiple sources including Excel, SQL databases, SharePoint, APIs, and cloud-based data sources.
• Write DAX measures, calculated columns, and basic Power Query transformations to support business KPIs.
• Collaborate with business stakeholders to understand reporting requirements and convert them into clear visual dashboards.
• Ensure data accuracy, consistency, and quality across reports and dashboards.
• Support the maintenance, troubleshooting, and optimisation of existing Power BI reports.
• Assist in creating reusable data models, semantic models, and reporting templates.
• Document report logic, data sources, data models, and transformation steps for knowledge sharing.
• Participate in team meetings, sprint planning, requirement discussions, and review cycles.
• Explore and support the use of Power BI MCP servers or similar integration approaches for connecting Power BI with AI-assisted workflows and external tools.
• Assist in evaluating how AI tools can be used for faster data analysis, DAX generation, report documentation, insight generation, and dashboard development.
• Support basic integration of Power BI reports into web applications or internal portals, where required.

Required Skills and Qualifications

• Education: BE / BTech / BSc student in Computer Science, Information Science, Data Science, IT, or related field.
• Experience: Fresher / up to 1 year of academic, internship, or project experience.
• Strong interest in Business Intelligence, Data Analytics, Reporting, and Automation.
• Ability to learn quickly and work in a collaborative team environment.

Technical Skills

• Hands-on experience or academic project exposure to Power BI Desktop and Power BI Service.
• Basic understanding of DAX and Power Query / M language.
• Familiarity with data modelling concepts such as star schema, relationships, hierarchies, fact tables, and dimension tables.
• Working knowledge of Microsoft Excel for data preparation and analysis.
• Basic SQL knowledge for querying relational databases.
• Exposure to data sources such as Excel, CSV, SQL Server, SharePoint, REST APIs, or cloud databases.
• Understanding of dashboard design principles, including layout, filters, drill-through, bookmarks, and user-friendly navigation.
• Basic knowledge of Power BI workspace, publishing, refresh schedules, access permissions, and report sharing.
• Good understanding of data validation, data quality checks, and reconciliation.
• Awareness of Power BI MCP servers, AI agents, or tool-based integrations will be an added advantage.
• Basic knowledge of web application development using HTML, CSS, JavaScript, React, Angular, or similar technologies is good to have.
• Familiarity with embedding Power BI reports into web applications or portals is an added advantage.
• Exposure to AI tools such as ChatGPT, Copilot, or similar platforms for productivity, analytics, documentation, or code assistance is desirable.
• Basic understanding of APIs, JSON, and data integration concepts is good to have.

Good to Have Skills

• Knowledge of Microsoft Fabric, OneLake, Dataflows, or Power BI semantic models.
• Exposure to Python or R for data analysis.
• Understanding of Git or basic version control practices.
• Experience with academic or personal dashboard projects.
• Ability to use AI responsibly for generating insights, improving DAX, creating documentation, and accelerating analysis.
• Interest in automation, AI-assisted reporting, and modern BI platforms.

Soft Skills

• Strong attention to detail with a structured and analytical approach to problem-solving.
• Good communication skills with the ability to explain data insights to non-technical stakeholders.
• Curiosity to explore new tools, technologies, and AI-enabled workflows.
• Ability to work independently as well as in a team.
• Willingness to learn and adapt in a fast-paced environment. 

Job Title: Lead Tableau Consultant

Location: Marathahalli, Bangalore (Onsite)

Job Type: Full-time

Key Responsibilities:

·   Develop dashboards and reports using Power BI.

·   Work with Azure Synapse, Data Factory, and Azure SQL for data integration.

·   Build and optimize data models and DAX queries.

·   Collaborate with stakeholders to gather and analyze reporting needs

·   Ensure performance, security, and scalability of visual solutions

·   Strong experience in Tableau

Required Skills:

·   Power BI, DAX, Azure Synapse, ADF, SQL, Data Modeling, Data Storytelling

·   Tableau (Dashboard Development, Data Visualization, Calculated Fields,

·   LOD Expressions)

·   Microsoft Fabric (preferred)

Job Title: People Insights Analyst

Experience: 3 to 5 Years

Location: Hyderabad

Work Mode: Hybrid

Contract Duration: Contract Role

Notice Period: Immediate to 15 Days Preferred

Job Description

We are looking for a highly analytical and detail-oriented People Insights Analyst with strong expertise in HR analytics, Visier, Power BI, and SuccessFactors reporting. The ideal candidate will have hands-on experience in workforce analytics, dashboard development, HR reporting, and data governance while partnering with business leaders to deliver meaningful talent insights.

Key Responsibilities

People Analytics

• Manage and analyze HR data across workforce lifecycle processes including:
• Headcount/FTE
• Employee movements
• Attrition and tenure analysis
• Recruitment funnel metrics
• Engagement and survey analytics
• Ensure data quality, governance, and reporting accuracy through:
• QA checks
• Duplicate and null validations
• Hierarchy integrity checks
• Documentation and change control

Visier Configuration & Analytics

• Build and customize:
• Dashboards
• Metrics
• Dimensions
• Calculated fields
• Filters
• Configure audience-based access controls
• Apply privacy thresholds and data suppression rules

Power BI Reporting

• Develop and maintain interactive dashboards and reports
• Build star schema data models and define relationships
• Create DAX measures and optimize report performance
• Configure data refresh schedules and gateways
• Follow visualization best practices and workspace governance standards

SuccessFactors Reporting

• Work with SuccessFactors reporting tools:
• Story Reports
• Canvas Reports
• Table Reports
• Support Employee Central and Recruitment module reporting
• Deliver regular BAU reports and ad hoc reports to business leaders

Data Analysis & Talent Insights

• Interpret and analyze complex HR data sets
• Provide actionable talent insights through dashboards and analytics
• Collaborate with stakeholders to understand reporting requirements
• Identify opportunities for reporting automation and process improvements

Required Skills & Qualifications

• Bachelor’s or Master’s Degree or equivalent experience
• 3–5+ years of experience in People Analytics / HR Analytics / BI roles
• Strong expertise in:
• Visier configuration and analytics
• Advanced Excel (Macros, Power Query, Dashboards)
• Power BI
• Good understanding of HR systems, HR processes, and reporting
• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills
• Strong attention to detail and stakeholder management abilities

Preferred Skills

• Experience with advanced analytics techniques
• Familiarity with automated reporting and data interfacing systems
• Ability to work cross-functionally and manage multiple projects
• Strong customer-service mindset and systems-thinking approach
• Experience independently gathering requirements and defining timelines

FP&A Analyst – Financial Planning & Analysis

📍 Location: Hyderabad

💼 Experience: 4–6 Years

🏢 Work Mode: Hybrid

📄 Employment Type: Contract

🕒 Notice Period: 0–15 Days Preferred

Job Description

We are looking for an experienced FP&A Analyst with strong expertise in financial planning, reporting, budgeting, and reconciliation processes. The ideal candidate should possess strong analytical capabilities, stakeholder management skills, and hands-on experience with SAP and finance tools.

Key Responsibilities

• Prepare and analyze Financial Reports, Budgets, and Forecasts
• Perform Variance Analysis and support P&L Management activities
• Manage General Ledger and SAP Reconciliation processes
• Support Financial Planning & Analysis (FP&A) operations
• Coordinate with stakeholders and global counterparts for finance activities
• Work closely with procurement and IT finance teams
• Generate MIS reports and dashboards using Power BI and Excel
• Ensure accuracy in financial data management and reporting
• Support process improvement initiatives and automation opportunities
• Collaborate effectively within Agile & Scrum environments

Required Skills

• Financial Reporting
• Budgeting & Forecasting
• Variance Analysis
• P&L Management
• Financial Planning & Analysis (FP&A)
• Stakeholder Management
• SAP Ariba
• Power BI
• Advanced MS Excel
• SAP Reconciliation
• ServiceNow SPM
• Celonis
• Agile & Scrum
• IT Finance
• Technology Procurement Finance

Preferred Qualifications

• Bachelor’s Degree in Finance, Accounting, Commerce, or related field
• MBA Finance / CA / CMA preferred
• Strong analytical and communication skills
• Ability to manage multiple priorities and deadlines effective

Job Role : Financial Planning And Analysis

Experience :3 To 6 Years

Work Mode : Hybrid Model

Location : Hyderabad

- Reconciliation of General Ledger Accounts including Cash and Bank accounts and other Sub-ledger Accounts as required.

- Identify, research, analyze & resolve the reconciling items on the accounts reconciled

- Prepare and organize supporting documentation for reconciliations.

- Perform Account-related system tasks such as report generation and data management

- Prepare reconciliation-related journal entries and enter in SAP GL.

- Develop new methods or approaches to facilitate more effective performance of prescribed responsibilities.

- Effectively communicate independently with all the stake holders including US Managers / counterparts.

- Effective team player ensuring the team goals are achieved through collaboration

- Ability to Prioritize & multi task successfully to ensure meeting challenging deadlines of various activities.

Must & Good to have Skills

• Candidates with strong experience in financial analysis, reporting, and finance support related to IT/technology procurement
• The ideal profile should have hands-on expertise in budgeting, stakeholder management, SAP reconciliations, dashboarding, and strategic reporting
• Relevant experience in financial planning, reporting, variance analysis, and working on insurance applications as per regulatory guidelines will be preferred
• Key skills/tools: Financial Reporting, Budgeting, Variance Analysis, P&L Management, Stakeholder Management, Power BI, SAP Ariba, ServiceNow SPM, MS Excel, Celonis, Agile, and Scrum.

Job Title: Senior MIS Executive

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data

management, reporting, automation, and system development initiatives across the organization.

The role focuses on transforming raw data into meaningful insights, designing and implementing

automated systems, strengthening data structures, and supporting cross-functional teams with

accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

● Collect, clean, validate, and consolidate data from multiple internal and external sources.

● Prepare and deliver daily, weekly, and monthly MIS reports for management and

departments.

● Design, develop, and maintain dashboards to track KPIs, performance metrics, and

operational trends.

2. Database & Data Accuracy Management

● Manage and regularly update internal databases, spreadsheets, and reporting systems.

● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

● Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

● Translate data findings into clear, actionable insights and recommendations to support

strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

● Identify opportunities to replace manual or semi-manual processes with automated,

data-driven systems.

● Design and implement automated reporting frameworks, dashboards, and data pipelines

using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

● Proactively suggest new automation tools, system enhancements, or integrations to

improve efficiency, accuracy, and scalability.

● Lead the end-to-end implementation of approved automation initiatives, including

requirement gathering, system design, testing, deployment, and stabilization.

● Continuously monitor and optimize automated systems in line with business growth and

evolving data needs.

5. Cross-Functional Coordination & Support

● Collaborate with Sales, HR, Finance, Operations, and other departments to understand

reporting and data requirements.

● Provide support for ad-hoc analysis, custom reports, and special data requests.

● Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

● Maintain complete and updated documentation for MIS processes, reports, data models,

automation logic, and system changes.

● Ensure compliance with company data governance policies and applicable data protection

standards.

System Development & Data Structuring Responsibilities

● Study and understand departmental workflows to evaluate how data is generated,

processed, and utilized.

● Review existing manual and digital data systems to identify operational gaps, risks, and

improvement opportunities.

● Recommend structured data models, reporting formats, and storage solutions aligned with

business requirements.

● Coordinate with department heads to define data structures, access levels, and reporting

standards.

● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP

integrations) with minimal operational disruption.

● Design structured data formats and role-based access controls to ensure secure and

organized data management.

● Train employees on newly implemented systems and provide post-implementation

support.

● Monitor system performance, resolve issues, and continuously improve systems based on

user feedback and organizational growth.

Qualifications & Experience

● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

● 3–5 years of experience in data analytics, reporting, or system automation roles.

● Strong analytical thinking, logical reasoning, and problem-solving abilities.

● High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

● Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)

● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

● Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema

● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API

integrations, workflow optimization

Preferred Skills

● Strong verbal and written communication skills

● Ability to handle sensitive and confidential information responsibly

● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

Job Title: Senior Data Analyst

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

Department: MDO

Reporting To: COO

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.

The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

● Collect, clean, validate, and consolidate data from multiple internal and external sources.

● Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

● Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

● Manage and regularly update internal databases, spreadsheets, and reporting systems.

● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

● Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

● Translate data findings into clear, actionable insights and recommendations to support

strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

● Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

● Proactively suggest new automation tools, system enhancements, or integrations to

improve efficiency, accuracy, and scalability.

● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

● Collaborate with Sales, HR, Finance, Operations, and other departments to understand

reporting and data requirements.

● Provide support for ad-hoc analysis, custom reports, and special data requests.

● Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

● Maintain complete and updated documentation for MIS processes, reports, data models,

automation logic, and system changes.

● Ensure compliance with company data governance policies and applicable data protection standards.

System Development & Data Structuring Responsibilities

● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

● Review existing manual and digital data systems to identify operational gaps, risks, and

mprovement opportunities.

● Recommend structured data models, reporting formats, and storage solutions aligned with

business requirements.

● Coordinate with department heads to define data structures, access levels, and reporting

standards.

● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP

integrations) with minimal operational disruption.

● Design structured data formats and role-based access controls to ensure secure and

organized data management.

● Train employees on newly implemented systems and provide post-implementation

support.

● Monitor system performance, resolve issues, and continuously improve systems based on

user feedback and organizational growth.

Qualifications & Experience

● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

● 3–5 years of experience in data analytics, reporting, or system automation roles.

● Strong analytical thinking, logical reasoning, and problem-solving abilities.

● High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

● Vlook

Preferred Skills

● Strong verbal and written communication skills

● Ability to handle sensitive and confidential information responsibly

● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization. The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

• Collect, clean, validate, and consolidate data from multiple internal and external sources.
• Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.
• Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

• Manage and regularly update internal databases, spreadsheets, and reporting systems.
• Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.
• Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

• Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.
• Translate data findings into clear, actionable insights and recommendations to support strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

• Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.
• Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.
• Proactively suggest new automation tools, system enhancements, or integrations to improve efficiency, accuracy, and scalability.
• Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.
• Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

• Collaborate with Sales, HR, Finance, Operations, and other departments to understand reporting and data requirements.
• Provide support for ad-hoc analysis, custom reports, and special data requests.
• Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

• Maintain complete and updated documentation for MIS processes, reports, data models, automation logic, and system changes.
• Ensure compliance with company data governance policies and applicable data protection standards.

System Development & Data Structuring Responsibilities

• Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.
• Review existing manual and digital data systems to identify operational gaps, risks, and improvement opportunities.
• Recommend structured data models, reporting formats, and storage solutions aligned with business requirements.
• Coordinate with department heads to define data structures, access levels, and reporting standards.
• Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP integrations) with minimal operational disruption.
• Design structured data formats and role-based access controls to ensure secure and organized data management.
• Train employees on newly implemented systems and provide post-implementation support.
• Monitor system performance, resolve issues, and continuously improve systems based on user feedback and organizational growth.

Qualifications & Experience

• Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.
• 3–5 years of experience in data analytics, reporting, or system automation roles.
• Strong analytical thinking, logical reasoning, and problem-solving abilities.
• High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

• Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts
• Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)
• BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)
• Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema
• Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

            Azure Database Developer

Mandatory Skills: Data Bricks (Pyspark/Spark), Unity Catalog, T-SQL, Azure Data Factory, Power BI.

Power BI, & Azure Devops

·        Very strong understanding on ETL and ELT

·        Very strong understanding on Medallion architecture.

·        Very strong knowledge in Pyspark and Spark architecture.

·        Very strong knowledge in Unity Catalog architecture using databricks.

·        Very strong knowledge in T-SQL 

·        Good knowledge in Azure data lake architecture and access controls.

·        Good knowledge in data pipeline creation and monitoring using Azure data factory

·        Good knowledge in CI /CD process using Azure devops

·        Power BI

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

About Us

Pearl is AI for professional services at global scale—combining advanced AI with verified human expertise to deliver help that’s accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.

Our Values

• Data driven: Data decides, not egos
• Courageous: We take risks and challenge the status quo
• Innovative: We're constantly learning, creating, and adapting
• Lean: We focus on customers, using lean testing to learn how to serve them best
• Humble: Past success is not a guarantee of future success

About the Role

As a Senior Analyst at Pearl, you will be a Subject Matter Expert (SME) in the professional services domain, driving long-term growth and leveraging the latest technologies and methodologies.

In this role, you will drive tangible business impact by delivering high-quality insights and recommendations that are grounded in your ability to combine strategic thinking and problem-solving with detailed analysis. This position offers a unique opportunity to collaborate closely with Product Managers and cross-functional teams, uncovering valuable business insights, devising optimization strategies, and validating them through experiments.

What You’ll Do

• Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from “deep dives” into specific areas of our business
• Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business
• Package and communicate findings and recommendations to a broad audience (including senior leadership)
• Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends
• Implement and track business metrics that will help drive the business
• Help determine growth strategy from a marketing and operations perspective
• Responsible/Opportunity to operate in an individual capacity as a lead analyst to understand the customer and guide informed strategic decisions & executions

What We’re Looking For

• 7+ years of experience in e-commerce/customer experience products
• Proficiency in analysis and business modeling using Excel
• Experience with Google Analytics, BigQuery, PowerBI, and Python ./ R would be a plus
• Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer
• Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis
• Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results
• Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills
• Ability to communicate effectively with all levels of management and partners from a variety of business functions
• Advanced English level

Our Commitment to an Inclusive Workplace

We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

AI Disclosure & Informed Consent

Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.

Job Title: Lead Data Architect (AI & Cloud)

Company: Risosu Consulting

About the Role

Risosu Consulting is hiring a Lead Data Architect / Crew Manager for one of our global clients in the Cloud, Data & AI space. This role focuses on designing scalable data architectures and driving AI-led transformation across modern cloud platforms.

Key Responsibilities

• Design data strategies, architectures, and scalable cloud solutions
• Build and optimize data pipelines, data lakes, and warehouses
• Collaborate with cross-functional teams to enable AI/ML use cases
• Lead client engagements and translate business needs into data solutions
• Mentor and manage a team of consultants as a Crew Manager

Requirements

• 5+ years of experience in Data Architecture / Engineering
• Strong expertise in cloud platforms (GCP/AWS/Azure)
• Experience with data modeling, ETL, and data governance
• Exposure to tools like BigQuery, dbt, Airbyte, or Power BI
• Strong communication skills and stakeholder management

Why Join via Risosu?

• Opportunity to work on high-impact global projects
• Fast-growing, entrepreneurial environment
• Clear growth path with learning & certification support
• Work with cutting-edge Cloud, Data & AI technologies

If you’re passionate about building scalable data systems and leading teams, let’s connect.

Role Overview

We are seeking an experienced Power BI & Microsoft Fabric Consultant to partner with our BI team for a short-term engagement focused on capability building, governance setup, and platform enablement.

The primary objective of this role is to upskill the team and establish a robust, scalable foundation for Power BI and Microsoft Fabric—covering security, governance, administration, and best practices—so that the team can independently manage and scale the platform post-engagement.

This is a hands-on + coaching role, not just advisory.

Key Responsibilities

1. Power BI & Fabric Enablement

• Conduct structured training sessions and workshops on:
• Power BI (Pro + Fabric-integrated experiences)
• Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, etc.)
• Build foundational understanding of:
• End-to-end analytics workflows in Fabric
• Integration between Power BI and Fabric workloads 
• Data Lake will be Snowflake

2. Governance & Security Framework

• Design and implement Power BI & Fabric governance model, including:
• Workspace strategy (Dev/Test/Prod separation)
• Naming conventions and standards
• Content lifecycle management
• Establish security architecture:
• Role-based access control (RBAC)
• Row-Level Security (RLS) / Object-Level Security (OLS)
• Data access patterns across Fabric and Power BI
• Define data sharing and access control processes

3. Administration & Platform Setup

• Configure and optimize:
• Power BI tenant settings
• Fabric capacity (capacity planning, workload management)
• Monitoring and usage metrics
• Set up:
• Deployment pipelines
• CI/CD best practices (where applicable)
• Audit logs and governance controls

4. Best Practices & Standards

• Define and document:
• Development standards (data modeling, DAX, report design)
• Performance optimization guidelines
• Dataset/reusable semantic model strategy
• Establish certification and promotion workflows for datasets and reports

5. Hands-On Implementation

• Work alongside the team to:
• Build or refactor key dashboards/reports using best practices
• Set up Fabric artifacts (Lakehouse/Warehouse/Pipelines)
• Ensure real use cases are implemented, not just theoretical training

6. Knowledge Transfer & Self-Sufficiency

• Provide:
• Playbooks, SOPs, and governance documentation
• Recorded sessions and training materials
• Mentor team members through:
• Office hours / Q&A sessions
• Code and architecture reviews
• Ensure the team can independently:
• Manage Fabric capacity
• Govern Power BI environment
• Implement secure and scalable solutions

Expected Outcomes (End of Engagement)

• Fully defined and implemented Power BI & Fabric governance framework
• Configured and optimized Fabric capacity + Power BI tenant
• Established security and access control processes
• Documented standards, playbooks, and operating model
• BI team capable of independent development, administration, and governance

Required Skills & Experience

Must-Have

• 5+ years of experience in Power BI development and administration
• Hands-on experience with Microsoft Fabric (end-to-end)
• Strong expertise in:
• Power BI governance and tenant administration
• Fabric capacity management
• Security models (RLS, RBAC, data access controls)
• Experience setting up enterprise BI governance frameworks
• Proven track record of training and mentoring teams

Good-to-Have

• Experience with data platforms (Snowflake, Azure, etc.)
• Knowledge of CI/CD for Power BI (DevOps integration)
• Familiarity with data catalog and lineage tools (e.g., Atlan, Alation)
• Understanding of modern data architecture patterns

POWER APPS DEVELOPER:

MUST HAVE SKILLS:

POWER APPS - 5 YEARS, POWER BI - 3 YEARS

NICE TO HAVE SKILLS:

DATA MODELING - 3 YEARS, WORKFLOW - 2 YEARS

JOB DESCRIPTION:

-         Design, develop, and implement custom applications using Power Apps, ensuring high performance, scalability, and usability.

-         Collaborate with stakeholders to gather requirements and translate them into technical specifications.

-         Create and maintain data models, forms, workflows, and custom connectors within Power Apps.

-         Develop and optimize Power BI reports and dashboards to provide actionable insights for business users.

-         Integrate Power Apps and Power BI with other systems and data sources, such as SharePoint, Dynamics 365, SQL Server, etc.

-         Troubleshoot and resolve issues related to Power Apps and Power BI applications.

-         Stay up to date with the latest features and capabilities of Power Apps and Power BI and provide recommendations for process improvements.

REQUIREMENTS:

-         Minimum of 5 years of experience as a Power Apps developer, with intermediate hands-on experience in Power BI.

-         Strong proficiency in building canvas apps, model-driven apps, and portals using Power Apps.

-         Solid understanding of data modeling concepts and ability to design efficient data models within Power Apps.

-         Proficiency in creating custom connectors, workflows, and business rules within Power Apps.

-         Experience in developing complex reports, dashboards, and visualizations using Power BI.

-         Strong knowledge of DAX (Data Analysis Expressions) language for creating calculated columns, measures, and queries in Power BI.

-         Familiarity with data integration techniques, such as APIs, OData, SQL Server, SharePoint, etc.

-         Ability to troubleshoot and resolve technical issues related to Power Apps and Power BI applications.

-         Excellent problem-solving skills and ability to work independently or as part of a team.

-         Strong communication skills to effectively collaborate with stakeholders and gather requirements.

PREFERRED TECHNICAL QUALIFICATIONS:

-         Microsoft certifications in Power Apps and Power BI.

-         Experience with other Microsoft Power Platform technologies like Power Automate (Flow) and Power Virtual Agents.

-         Knowledge of Azure services and cloud-based solutions.

• 10+ years of software development experience
• 3+ years in a technical leadership role
• Strong expertise in Python and SQL
• Experience building scalable APIs and backend systems
• Solid understanding of database design and performance tuning
• Experience with Azure cloud services (AWS familiarity preferred)
• Working knowledge of ML/AI integration in enterprise systems
• Experience in client-facing or consulting environments preferred
• Experience with Databricks or modern data platforms
• Exposure to ETL tools such as Talend
• Experience with BI tools (e.g., Power BI)
• Exposure to regulated domains such as Pharma, Healthcare

Description

As a Power Apps Developer, you will be at the forefront of crafting innovative, low‑code solutions that streamline business processes and empower end‑users across the organization. You will collaborate closely with functional analysts, business stakeholders, and fellow developers to translate complex requirements into intuitive, scalable applications on the Microsoft Power Platform. The role offers a dynamic environment where continuous learning is encouraged, providing access to the latest Power Apps features, Azure services, and integration techniques. You will contribute to a culture of knowledge sharing, participate in code reviews, and mentor junior team members, ensuring high‑quality deliverables that drive operational efficiency and measurable business impact.

Requirements:

• 5–15 years of experience developing enterprise‑grade solutions using Microsoft Power Apps, Power Automate, and Power BI.
• Strong proficiency in Canvas and Model‑Driven apps, Common Data Service (Dataverse), and integration with Azure services (e.g., Azure Functions, Logic Apps).
• Solid understanding of relational databases, SQL, and data modeling concepts.
• Experience with JavaScript, TypeScript, and RESTful APIs for extending Power Apps functionality.
• Excellent problem‑solving abilities, strong communication skills, and a collaborative mindset.
• Relevant certifications such as Microsoft Power Platform Developer Associate (PL‑400) are a plus.

Roles and Responsibilities:

• Design, develop, and deploy custom Power Apps solutions that meet business requirements and adhere to best practices.
• Create and maintain automated workflows using Power Automate to streamline repetitive tasks and improve efficiency.
• Integrate Power Apps with external systems via connectors, APIs, and Azure services to ensure seamless data flow.
• Perform performance tuning, debugging, and troubleshooting of applications to ensure optimal user experience.
• Collaborate with business analysts and stakeholders to gather requirements, provide technical guidance, and deliver prototypes.
• Conduct code reviews, enforce governance standards, and contribute to the development of a reusable component library.
• Stay updated with the latest Power Platform releases, evaluate new features, and recommend adoption strategies.
• Provide training and mentorship to junior developers and end‑users to foster platform adoption.

Must have skills

Power apps - 5 years

Microsoft Power Automate - 1 years

Nice to have skills

Canvas App Development and Scripting - 4 years

Canvas Apps Development - 4 years

SQL - 2 years

SharePoint APIs - 1 years

Power Fx - 2 years

C Sharp - 3 years

RESTful API - 2 years

📌 Job Title: Portfolio Analyst – ITOF Platform Services

📍 Location: Bangalore

📄 Type: Contract (6 months / extendable) (confirm if needed)

🕒 Experience: 5+ Years

🔍 Role Summary

We are hiring a Portfolio Analyst to support IT Operations & Foundation portfolio governance, performance tracking, and data-driven decision-making. This role focuses on portfolio analytics, reporting, and strategic alignment across initiatives.

🛠 Key Responsibilities

• Support portfolio governance, planning, and performance tracking
• Prioritize initiatives based on strategy & resource capacity
• Analyze portfolio, delivery & financial data for insights and risks
• Build dashboards and reports using Power BI
• Ensure data quality across tools like ADO & TargetProcess
• Track dependencies, risks, and performance metrics
• Collaborate with stakeholders (Portfolio Managers, Product Leaders, EPMO)
• Translate complex data into business insights

✅ Must-Have Skills

• Strong experience in Portfolio Management / Governance / Analytics
• Hands-on with:
• Azure DevOps (ADO)
• TargetProcess
• Power BI (Dashboards, Data Modeling)
• Strong data analysis & reporting skills
• Stakeholder communication & problem-solving

⭐ Good to Have

• SQL / Advanced Excel
• Financial / capacity planning exposure
• Scrum / Kanban knowledge
• Executive-level reporting experience

Description

Power BI JD

Mandatory:

• 5+ years of Power BI Report development experience.

• Building Analysis Services reporting models.

• Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.

• Connecting data sources, importing data, and transforming data for Business intelligence.

• Analytical thinking for translating data into informative reports and visuals.

• Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.

• Should have an edge over making DAX queries in Power BI desktop.

• Expert in using advanced-level calculations on the data set.

• Responsible for design methodology and project documentaries.

• Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.

• Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

• Experience working with Microsoft Business Intelligence Stack having Power BI, SSAS, SSRS, and SSIS

• Mandate to have experience with BI tools and systems such as Power BI, Tableau, and SAP.

• Must have 3-4years of experience in data-specific roles.

• Have knowledge of database fundamentals such as multidimensional database design, relational database design, and more

• Knowledge of all the Power BI products (Power Bi premium, Power BI server, Power BI services, Powerquery etc)

• Grip over data analytics

• Interact with customers to understand their business problems and provide best-in-class analytics solutions

• Proficient in SQL and Query performance tuning skills

• Understand data governance, quality and security and integrate analytics with these corporate platforms

• Attention to detail and ability to deliver accurate client outputs

• Experience of working with large and multiple datasets / data warehouses

• Ability to derive insights from data and analysis and create presentations for client teams

• Experience with performance optimization of the dashboards

• Interact with UX/UI designers to create best in class visualization for business harnessing all product capabilities.

• Resilience under pressure and against deadlines.

• Proactive attitude and an open outlook.

• Strong analytical problem-solving skills

• Skill in identifying data issues and anomalies during the analysis

• Strong business acumen demonstrated an aptitude for analytics that incite action

• Ability to execute on design requirements defined by business

• Ability to understand required Power BI functionality from wireframes/ requirement documents

• Ability to architect and design reporting solutions based on client needs.

• Being able to communicate with internal/external customers, desire to develop communication and client-facing skills.

• Ability to seamlessly work with MS Excel working knowledge of pivot table and related functions

Good to have:

• Experience in working with Azure and connecting synapse with Tableau

• Demonstrate strength in data modelling, ETL development, and data warehousing

• Knowledge of leading large-scale data warehousing and analytics projects using Azure, Synapse, MS SQL DB

• Good knowledge of building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Good to have knowledge of Supply Chain Domain.

Role & Responsibilities

As the Head of RevOps, you will lead key areas of the Revenue/Sales Operations function, polishing the 0 to 1 process while gearing up for the 1 to 100 journey, building and leading your own team, and compensation planning. In this role, you will serve as a trusted partner to stakeholders across the company, driving strategic initiatives via data-driven insights to contribute to overall revenue growth. The ideal candidate brings expertise in Go-to-Market strategy and operations, with a proven track record in high-growth, fast-paced enterprise technology environments.

If you’re someone who thrives on solving complex problems with flexible and innovative approaches, then keep reading. You’re at the right place.

Key Responsibilities-

CRM & Data Management:

• Manage and optimize HubSpot CRM, ensuring data integrity, automation, and accurate tracking of leads, deals, and revenue.
• Implement best practices for data hygiene, maintaining clean, standardized, and enriched data for sales reporting, revenue analysis, and customer insights.
• Improve lead routing, scoring, and segmentation to enhance sales and marketing efficiency.

Reporting & Analytics:

• Develop dashboards and reports using Power BI, Tableau, Looker Studio, and Excel to track pipeline health, conversion rates, and revenue trends.
• Ensure accurate revenue forecasting and deal tracking.
• Conduct data analysis on sales and marketing performance, providing actionable insights to drive growth strategies.
• Support leadership with ad hoc data requests and ensure that they have access to accurate and up-to-date insights.

Process Optimization & Automation:

• Identify inefficiencies in current revenue processes and recommend improvements to improve productivity.
• Automate workflows in HubSpot and other RevOps tools to streamline workflows and enhance operational efficiency across functions
• Drive CRM Adoption across teams
• Implement effective sales compensation plans

Tech Stack Management:

• Manage and optimize the tech stack, such as Hubspot, Outplay, Clay, Avoma, n8n, while experimenting with new AI tools out there!
• Ensure system integrations between CRM, marketing automation, and customer success tools function smoothly.

Cross-Team Collaboration:

• Facilitate seamless communication and data sharing between sales, marketing, and customer success, ensuring alignment on processes and goals to drive overall revenue growth by breaking down silos and coordinating efforts.
• Organizing regular meetings, sharing insights, and keeping all teams informed about key performance indicators (KPIs) to maintain alignment on strategy.

Ideal Candidate

• Strong RevOps / Revenue Operations Lead Profiles (B2B SaaS Only).
• Mandatory (Experience 1) – Must have minimum 3+ years experience in RevOps / Sales Operations / Revenue Operations roles.
• Mandatory (Experience 2) – Must have minimum 2+ years of hands-on CRM experience, including at least 6 months of active HubSpot CRM usage (workflow automation, reporting, integrations, data hygiene).
• Mandatory (Experience 3) – Must have strong analytics and data management experience, including hands-on work with SQL, Excel, and BI tools (Tableau / Looker / Power BI / Looker Studio).
• Mandatory (Experience 4) – Must have proven experience in Revenue / Sales process optimization, automation, CRM adoption, and data governance best practices.
• Mandatory (Experience 5) – Must have exposure to GTM operations and 0–1 or 1–10 journey building experience (process setup in early-stage or fast-growing environments).
• Mandatory (Experience 6) – Must have experience managing or mentoring minimum 1–2 team members OR clear ownership of cross-functional RevOps initiatives.
• Mandatory (Tools) – Must have worked with RevOps tools such as HubSpot, sales engagement tools (e.g., Outplay), automation tools (e.g., n8n), enrichment tools (e.g., Clay), call intelligence tools (e.g., Avoma) or similar ecosystem tools.
• Mandatory (Company) – Must have experience in B2B SaaS companies only (early stage Startups / product-based preferred).
• Mandatory (Background) – Must have a technical education background (B.E/B.Tech/Engineering/Tech degree) OR strong demonstrated analytical/technical capability reflected in career progression.
• Preferred (Experience) – MBA or strong business exposure (compensation planning, revenue strategy, stakeholder management).

We are looking for an experienced Power BI developer with 7+yrs years of experience to join our Business Intelligence team. The ideal candidate will be responsible for transforming raw data into actionable insights using Microsoft Power BI. This role encompasses developing, maintaining, and optimizing interactive dashboards, reports, and data models to support strategic decision-making across the organization.

Key Responsibilities:

• Understand business requirements in the BI context and design data models to convert raw data to meaningful insights.
• Create complex DAX queries and functions in Power BI.
• Create dashboards and visual interactive reports using Power BI. Deploy creative visual interaction tools for different metrics.
• Proven expertise in the entire Microsoft Power Platform like Power Apps, Power Automate, Microsoft DataVerse, AI Builder etc.
• Provide architecture recommendations to manage Power BI workspaces.
• Design, develop, and deploy Power BI scripts and perform efficient detailed analysis.
• Create charts and document data with algorithms, parameters, models, and relations explanations.
• Make technical changes to existing BI systems in order to enhance their functioning.

Required Qualifications & Skills:

• 7+ years relevant experience with the above job duties for Intermediate Power BI Developer bachelor’s or master's degree in computer science or related fields.
• Certification in MS Power BI and Power Apps Suite is needed.
• Good creative and communication skills – Ability to influence and recommend visualizations to the senior leadership teams.
• Ability to create complex SQL queries to join multiple tables / data is absolutely Needed.
• Understanding of JavaScript, CSS, and other JavaScript libraries is preferred.

Position : Senior Power BI Developer

Experience : 4+Years

Location : Ahmedabad - WFO

Key Responsibilities:

• Design, develop, and maintain interactive and user-friendly Power BI dashboards and
• reports.
• Translate business requirements into functional and technical specifications.
• Perform data modeling, DAX calculations, and Power Query transformations.
• Integrate data from multiple sources including SQL Server, Excel, SharePoint, and APIs.
• Optimize Power BI datasets, reports, and dashboards for performance and usability.
• Collaborate with business analysts, data engineers, and stakeholders to ensure data accuracy
• and relevance.
• Ensure security and governance best practices in Power BI workspaces and datasets.
• Provide ongoing support and troubleshooting for existing Power BI solutions.
• Stay updated with Power BI updates, best practices, and industry trends.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a
• related field.
• 4+ years of professional experience in data analytics or business intelligence.
• 3+ years of hands-on experience with Power BI (Power BI Desktop, Power BI Service).
• Strong expertise in DAX, Power Query (M Language), and data modeling (star/snowflake schema).
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Experience in working with large and complex datasets.
• Experience in BigQuery, MySql, Looker Studio is a plus.
• Ecommerce Industry Experience will be an added advantage.
• Solid understanding of data warehousing concepts and ETL processes.
• Experience with version control tools such as Power Apps & Power Automate would be a plus.

Preferred Qualifications:

• Microsoft Power BI Certification (PL-300 or equivalent is a plus). Experience with Azure Data Services (Azure Data Factory, Azure SQL, Synapse).
• Knowledge of other BI tools (Tableau, Qlik) is a plus.
• Familiarity with scripting languages (Python, R) for data analysis is a bonus.
• Experience integrating Power BI into web portals using Power BI Embedded.