50+ PowerBI Jobs in India

Job brief

An ideal candidate will have 3 to 6 years of experience working in live projects related to data analysis or Business Intelligence.

Responsibilities:

• Work with business groups and technical teams to develop and maintain BI Reports & Dashboards.
• Designing, developing, and maintaining complex BI solutions, such as dashboards, reports, and data visualizations.
• Knowledge on extract data from various sources such as files, cloud, and databases & load to data warehouse and data lake.
• Responsible for performance tuning and optimization of BI solutions and ensure that the BI solutions perform efficiently and provide quick responses.
• Provide technical support during weekends, after-hours and holidays when needed.

Skills Areas

• Good knowledge of Data Analysis and Data Visualization and BI performance optimization techniques.
• Experience in developing Reports & Dashboards, relational and multidimensional models, report migration & Upgrade activities.
• Visualization Tools: Experience in one or more following visualization tools (Amazon QuickSight(Preferred), Bold BI, Power BI, Tableau, Qlik)
• Strong knowledge on writing simple and Complex SQL Query
•  Knowledge in ETL job development using Informatica, Data stage or Any other ETL tools
• Knowledge in one or more of the following domains – fraud and risk, retail payments, banking, and financial services. 
• Willing to learn new technologies and implement as per business requirement on-demand basis.
• A Self-Motivated Challenging Professional with excellent
• Problem solving Skills.
• Business Communication skills (Written & Verbal)
• Presentation & Documentation skills
• Mentoring and People Management skills

Experience

The ideal candidate will have relevant experience of > 3 years. Possession of a professional degree / post-graduation is desirable. Certifications in the respective technology areas will be an added advantage. 

About the company:

Inteliment is a niche business analytics company with almost 2 decades proven track record of partnering with hundreds of fortunes 500 global companies. Inteliment operates its ISO certified development centre in Pune, India and has business operations in multiple countries through subsidiaries in Singapore, Europe and headquarter in India.

About the role:

As a Power BI Developer, you will work closely with business analysts, data engineers, and key stakeholders to transform complex datasets into actionable insights. Your expertise will be pivotal in designing and delivering visually engaging reports, dashboards, and data-driven stories that empower informed decision-making across the organization. By translating raw data into meaningful visuals, you will play a critical role in driving strategic initiatives and fostering a culture of data-driven excellence.

Qualifications:

• Bachelor’s or master’s degree in computer sciences, Information Technology, or a related field.
• Certifications with related field will be an added advantage

Key Competencies:

• Technical Skills: Proficiency in Power BI, DAX, Power Query, SQL, and data visualization best practices.
• Additional Tools: Familiarity with Azure Data Factory, Power Automate, and other components of the Power Platform is advantageous.
• Soft Skills: Strong analytical thinking, problem-solving, and communication skills for interacting with technical and non-technical audiences.
• Additional skills: Domain understanding is a plus

Key Responsibilities:

1. Data Integration & Modelling

• Extract, transform, and load (ETL) data from various sources (SQL, Excel, APIs, etc.).
• Design and develop efficient data models to support reporting needs.
• Ensure data integrity and optimize performance through best practices.

2. Report Development

• Understand the business requirement and build reports to provide analytical insights
• Build visually appealing, interactive dashboards and reports in Power BI.
• Implement DAX (Data Analysis Expressions) for complex calculations and measures.
• Design user-friendly layouts that align with stakeholder requirements.

3. Collaboration

• Work with stakeholders to gather business requirements and translate them into technical solutions.
• Collaborate with data engineers and analysts to ensure cohesive reporting strategies.
• Provide support and training for end-users to maximize adoption and usage of Power BI solutions

4. Performance Optimization

• Optimize dashboards and reports for better speed and responsiveness.
• Monitor and improve data refresh processes for real-time reporting.

5. Governance and Security

• Implement row-level security (RLS) and adhere to organizational data governance policies.
• Manage Power BI workspaces and permissions.

6. Continuous Improvement

• Stay updated with Power BI features and industry trends.
• Proactively recommend enhancements to existing solutions

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Required Skills: B2B SaaS Marketing Expertise, Leadership & Cross-Functional Collaboration, Performance Marketing & Automation Skills, Branding, Content & Communication Skills, Analytical & Data-Driven Decision Making

Criteria:

1. Must have 5–10 years of B2B SaaS marketing experience (non-negotiable).

2. Must have hands-on ownership of strategy + execution (leadership role, not managerial).

3. Must have strong digital marketing expertise (Google Ads, Meta Ads, SEO/SEM, email, social).

4. Must have proven lead generation experience for global and regional B2B SaaS markets.

5. Must be able to manage marketing budgets, ROI, and performance reporting independently.

6. Must have strong performance marketing and analytics skills.

7. Must have excellent English communication and presentation skills.

8. Must understand core SaaS metrics (MRR, ARR, CAC, LTV, etc.).

Description: 

Profile Overview

• The Marketing Head will develop, lead, and execute innovative marketing strategies that accelerate brand visibility, drive qualified global and regional leads, and directly contribute to revenue and market share growth.
• Reporting, event presentations, marketing roadmap planning, P&L, and ROI reporting are to be managed independently.
• This role demands strong leadership, cross-functional collaboration, advanced digital expertise, and complete ownership of performance outcomes.
• Note: This is not a managerial role — it is a leadership position requiring strategic ownership and hands-on execution.
• B2B SaaS experience is mandatory.

Roles & Responsibilities:

• Develop and execute integrated marketing strategies to enhance brand visibility and generate qualified leads across domestic and international B2B SaaS markets.
• Lead and mentor a multi-functional marketing team, fostering a performance-driven, creative, and data-oriented culture.
• Oversee all digital marketing initiatives — including Google Ads, Meta Ads, SEO/AISEO/SEM, email campaigns, and social media marketing — ensuring measurable ROI.
• Direct branding and messaging across multiple regions, ensuring local adaptability and consistency with global standards.
• Collaborate closely with Sales, Product, and Customer Success teams to design campaigns that align with business objectives and drive revenue growth.
• Plan and manage marketing budgets effectively, ensuring optimal allocation and tracking of performance metrics.
• Lead content creation efforts — including blogs, case studies, newsletters, and product collaterals — in coordination with internal and external stakeholders.
• Research and identify new market opportunities, trends, and competitors to support data-driven decision-making.
• Plan and execute product launches, webinars, events, and partnerships that strengthen YCS’s position as a global B2B hospitality SaaS leader.
• Work with the global marketing team of company to align regional campaigns with the global brand strategy.
• Prepare detailed performance reports and present actionable insights to the management team monthly, quarterly, and annually.

Key Competencies:

• Marketing Expertise: Proven track record with 5–10 years of experience in digital and strategic marketing within a B2B SaaS environment (mandatory), ideally in hospitality tech.
• Leadership & Collaboration: Experience leading a small marketing team and working cross-functionally with sales and product teams.
• Performance Marketing: Proficiency in tools like Google Ads, Meta Ads, HubSpot, Zoho, or similar platforms to drive and optimize campaigns.
• Content & Branding Skills: Strong storytelling, creative thinking, and understanding of brand positioning across multiple markets.
• Analytical Skills: Ability to interpret campaign data, measure ROI, and adjust strategies for maximum impact.
• Communication: Excellent written and verbal communication in English; additional language fluency is a plus.
• Time Management: Capable of managing multiple projects simultaneously in a fast-paced environment.
• Ownership: A true leader — not a manager.

Requirements:

• Bachelor’s or master’s degree in marketing, Business Administration, or a related field.
• Minimum 5–10 years of experience in digital marketing or brand management, with B2B SaaS experience being mandatory.
• Proven success in lead generation, campaign management, and marketing analytics.
• Strong understanding of B2B marketing dynamics and SaaS business models.
• Excellent presentation, negotiation, and interpersonal skills.
• Self-motivated, detail-oriented, and adaptable to changing priorities.
• Proficiency with CRM and marketing automation tools.
• Background in marketing hospitality SaaS products (PMS, RMS, OTA, Channel Managers, Distribution) preferred. Familiarity with advanced analytics tools (Power BI, Tableau, Segment, etc.).
• Experience tracking and managing key SaaS metrics — MRR, ARR, CAC, LTV, RAOS, ARPA, etc.

Strong Data engineer profile

Mandatory (Experience 1): Must have 6 months+ of hands-on Data Engineering experience.

Mandatory (Experience 2): Must have end-to-end experience in building & maintaining ETL/ELT pipelines (not just BI/reporting).

Mandatory (Technical): Must have strong SQL capability

Preferred

Preferred (Experience): Worked on Call center data

Job Specific Criteria

CV Attachment is mandatory

Have you used Databricks or any notebook environment?

Have you worked on ETL/ELT workflow?

We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Role: Azure Fabric Data Engineer

Experience: 5–10 Years

Location: Pune/Bangalore

Employment Type: Full-Time

About the Role

We are looking for an experienced Azure Data Engineer with strong expertise in Microsoft Fabric and Power BI to build scalable data pipelines, Lakehouse architectures, and enterprise analytics solutions on the Azure cloud.

Key Responsibilities

• Design & build data pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks).
• Develop and optimize Lakehouse / Data Lake / Delta Lake architectures.
• Build ETL/ELT workflows using Fabric, Azure Data Factory, or Synapse.
• Create and optimize Power BI datasets, data models, and DAX calculations.
• Implement semantic models, incremental refresh, and Direct Lake/DirectQuery.
• Work with Azure services: ADLS Gen2, Azure SQL, Synapse, Event Hub, Functions, Databricks.
• Build dimensional models (Star/Snowflake) and support BI teams.
• Ensure data governance & security using Purview, RBAC, and AAD.

Required Skills

• Strong hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Dataflows, Notebooks).
• Expertise in Power BI (DAX, modeling, Dataflows, optimized datasets).
• Deep knowledge of Azure Data Engineering stack (ADF, ADLS, Synapse, SQL).
• Strong SQL, Python/PySpark skills.
• Experience in Delta Lake, Medallion architecture, and data quality frameworks.

Nice to Have

• Azure Certifications (DP-203, PL-300, Fabric Analytics Engineer).
• Experience with CI/CD (Azure DevOps/GitHub).
• Databricks experience (preferred).

Note: One Technical round is mandatory to be taken F2F from either Pune or Bangalore office

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

Review Criteria

• Strong Senior Data Engineer profile
• 4+ years of hands-on Data Engineering experience
• Must have experience owning end-to-end data architecture and complex pipelines
• Must have advanced SQL capability (complex queries, large datasets, optimization)
• Must have strong Databricks hands-on experience
• Must be able to architect solutions, troubleshoot complex data issues, and work independently
• Must have Power BI integration experience
• CTC has 80% fixed and 20% variable in their ctc structure

Preferred

• Worked on Call center data, understand nuances of data generated in call centers
• Experience implementing data governance, quality checks, or lineage frameworks
• Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture

Job Specific Criteria

• CV Attachment is mandatory
• Are you Comfortable integrating with Power BI datasets?
• We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

Ideal Candidate

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

ROLES AND RESPONSIBILITIES:

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

IDEAL CANDIDATE:

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

ROLES AND RESPONSIBILITIES:

We are looking for a Junior Data Engineer who will work under guidance to support data engineering tasks, perform basic coding, and actively learn modern data platforms and tools. The ideal candidate should have foundational SQL knowledge, basic exposure to Databricks. This role is designed for early-career professionals who are eager to grow into full data engineering responsibilities while contributing to data pipeline operations and analytical support.

Key Responsibilities-

• Support the development and maintenance of data pipelines and ETL/ELT workflows under mentorship.
• Write basic SQL queries, transformations, and assist with Databricks notebook tasks.
• Help troubleshoot data issues and contribute to ensuring pipeline reliability.
• Work with senior engineers and analysts to understand data requirements and deliver small tasks.
• Assist in maintaining documentation, data dictionaries, and process notes.
• Learn and apply data engineering best practices, coding standards, and cloud fundamentals.
• Support basic tasks related to Power BI data preparation or integrations as needed.

IDEAL CANDIDATE:

• Foundational SQL skills with the ability to write and understand basic queries.
• Basic exposure to Databricks, data transformation concepts, or similar data tools.
• Understanding of ETL/ELT concepts, data structures, and analytical workflows.
• Eagerness to learn modern data engineering tools, technologies, and best practices.
• Strong problem-solving attitude and willingness to work under guidance.
• Good communication and collaboration skills to work with senior engineers and analysts.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

• Strong Senior Data Engineer profile
• Mandatory (Experience 1): Must have 4+ years of hands-on Data Engineering experience
• Mandatory (Experience 2): Must have experience owning end-to-end data architecture and complex pipelines
• Mandatory (Technical 1): Must have advanced SQL capability (complex queries, large datasets, optimization)
• Mandatory (Technical 2): Must have strong Databricks hands-on experience
• Mandatory (Role Requirement): Must be able to architect solutions, troubleshoot complex data issues, and work independently
• Mandatory (BI Requirement): Must have Power BI integration experience
• Mandatory (Note): Bajaj CTC has 80% fixed and 20% variable

ROLES AND RESPONSIBILITIES:

We are seeking a skilled Data Engineer who can work independently on data pipeline development, troubleshooting, and optimisation tasks. The ideal candidate will have strong SQL skills, hands-on experience with Databricks, and familiarity with cloud platforms such as AWS and Azure. You will be responsible for building and maintaining reliable data workflows, supporting analytical teams, and ensuring high-quality, secure, and accessible data across the organisation.

KEY RESPONSIBILITIES:

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Build, optimise, and troubleshoot SQL queries, transformations, and Databricks data processes.
• Work with large datasets to deliver efficient, reliable, and high-performing data solutions.
• Collaborate closely with analysts, data scientists, and business teams to support data requirements.
• Ensure data quality, availability, and security across systems and workflows.
• Monitor pipeline performance, diagnose issues, and implement improvements.
• Contribute to documentation, standards, and best practices for data engineering processes.

IDEAL CANDIDATE:

• Proven experience as a Data Engineer or in a similar data-focused role (3+ years).
• Strong SQL skills with experience writing and optimising complex queries.
• Hands-on experience with Databricks for data engineering tasks.
• Experience with cloud platforms such as AWS and Azure.
• Understanding of ETL/ELT concepts, data modelling, and pipeline orchestration.
• Familiarity with Power BI and data integration with BI tools.
• Strong analytical and troubleshooting skills, with the ability to work independently.
• Experience working end-to-end on data engineering workflows and solutions.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

ROLES AND RESPONSIBILITIES:

Standardization and Governance:

• Establishing and maintaining project management standards, processes, and methodologies.
• Ensuring consistent application of project management policies and procedures.
• Implementing and managing project governance processes.

Resource Management:

• Facilitating the sharing of resources, tools, and methodologies across projects.
• Planning and allocating resources effectively.
• Managing resource capacity and forecasting future needs.

Communication and Reporting:

• Ensuring effective communication and information flow among project teams and stakeholders.
• Monitoring project progress and reporting on performance.
• Communicating strategic work progress, including risks and benefits.

Project Portfolio Management:

• Supporting strategic decision-making by aligning projects with organizational goals.
• Selecting and prioritizing projects based on business objectives.
• Managing project portfolios and ensuring efficient resource allocation across projects.

Process Improvement:

• Identifying and implementing industry best practices into workflows.
• Improving project management processes and methodologies.
• Optimizing project delivery and resource utilization.

Training and Support:

• Providing training and support to project managers and team members.
• Offering project management tools, best practices, and reporting templates.

Other Responsibilities:

• Managing documentation of project history for future reference.
• Coaching project teams on implementing project management steps.
• Analysing financial data and managing project costs.
• Interfacing with functional units (Domain, Delivery, Support, Devops, HR etc).
• Advising and supporting senior management.

IDEAL CANDIDATE:

• 3+ years of proven experience in Project Management roles with strong exposure to PMO processes, standards, and governance frameworks.
• Demonstrated ability to manage project status tracking, risk assessments, budgeting, variance analysis, and defect tracking across multiple projects.
• Proficient in Project Planning and Scheduling using tools like MS Project and Advanced Excel (e.g., Gantt charts, pivot tables, macros).
• Experienced in developing project dashboards, reports, and executive summaries for senior management and stakeholders.
• Active participant in Agile environments, attending and contributing to Scrum calls, sprint planning, and retrospectives.
• Holds a Bachelor’s degree in a relevant field (e.g., Engineering, Business, IT, etc.).
• Preferably familiar with Jira, Azure DevOps, and Power BI for tracking and visualization of project data.
• Exposure to working in product-based companies or fast-paced, innovation-driven environments is a strong advantage.

About the Company:

Verinite is a global technology consulting and services company laser-focused on the banking & financial services sector, especially in cards, payments, lending, trade, and treasury

They partner with banks, fintechs, payment processors, and other financial institutions to modernize their systems, improve operational resilience, and accelerate digital transformation. Their services include consulting, digital strategy, data, application modernization, quality engineering (testing), cloud & infrastructure, and application maintenance.

Skill – Authorization, Clearing and Settlement

1. Individual should have worked on scheme (Visa, Amex, Discover, Rupay & Mastercard both on authorization or clearing section.

2. Should be able to read scheme specifications and create business requirement/mapping for authorization and Clearing

3. Should have Hands on experience in implementing scheme related changes

4. Should be able to validate the and certify the change post development based on the mapping created

5. Should be able to work with Dev team on explaining and guiding on time-to-time basis.

6. Able to communicate with various teams & senior stakeholders

7. Go getter and great googler

8. Schemes – VISA/MC/AMEX/JCB/CUP/Mercury – Discover and Diners, CBUAE, Jaywan ( Local Scheme from UAE)

9.Experience with Issuing side is plus (good to have).

We are seeking a highly skilled Power Platform Developer with deep expertise in designing, developing, and deploying solutions using Microsoft Power Platform. The ideal candidate will have strong knowledge of Power Apps, Power Automate, Power BI, Power Pages, and Dataverse, along with integration capabilities across Microsoft 365, Azure, and third-party systems.

Key Responsibilities

• Solution Development:
• Design and build custom applications using Power Apps (Canvas & Model-Driven).
• Develop automated workflows using Power Automate for business process optimization.
• Create interactive dashboards and reports using Power BI for data visualization and analytics.
• Configure and manage Dataverse for secure data storage and modelling.
• Develop and maintain Power Pages for external-facing portals.
• Integration & Customization:
• Integrate Power Platform solutions with Microsoft 365, Dynamics 365, Azure services, and external APIs.
• Implement custom connectors and leverage Power Platform SDK for advanced scenarios.
• Utilize Azure Functions, Logic Apps, and REST APIs for extended functionality.
• Governance & Security:
• Apply best practices for environment management, ALM (Application Lifecycle Management), and solution deployment.
• Ensure compliance with security, data governance, and licensing guidelines.
• Implement role-based access control and manage user permissions.
• Performance & Optimization:
• Monitor and optimize app performance, workflow efficiency, and data refresh strategies.
• Troubleshoot and resolve technical issues promptly.
• Collaboration & Documentation:
• Work closely with business stakeholders to gather requirements and translate them into technical solutions.
• Document architecture, workflows, and processes for maintainability.

Required Skills & Qualifications

• Technical Expertise:
• Strong proficiency in Power Apps (Canvas & Model-Driven), Power Automate, Power BI, Power Pages, and Dataverse.
• Experience with Microsoft 365, Dynamics 365, and Azure services.
• Knowledge of JavaScript, TypeScript, C#, .NET, and Power Fx for custom development.
• Familiarity with SQL, DAX, and data modeling.
• Additional Skills:
• Understanding of ALM practices, solution packaging, and deployment pipelines.
• Experience with Git, Azure DevOps, or similar tools for version control and CI/CD.
• Strong problem-solving and analytical skills.
• Certifications (Preferred):
• Microsoft Certified: Power Platform Developer Associate.
• Microsoft Certified: Power Platform Solution Architect Expert.

Soft Skills

• Excellent communication and collaboration skills.
• Ability to work in agile environments and manage multiple priorities.
• Strong documentation and presentation abilities.

About Ven Analytics

At Ven Analytics, we don’t just crunch numbers — we decode them to uncover insights that drive real business impact. We’re a data-driven analytics company that partners with high-growth startups and enterprises to build powerful data products, business intelligence systems, and scalable reporting solutions. With a focus on innovation, collaboration, and continuous learning, we empower our teams to solve real-world business problems using the power of data.

Role Overview

We’re looking for a Power BI Data Analyst who is not just proficient in tools but passionate about building insightful, scalable, and high-performing dashboards. The ideal candidate should have strong fundamentals in data modeling, a flair for storytelling through data, and the technical skills to implement robust data solutions using Power BI, Python, and SQL..

Key Responsibilities

• Technical Expertise: Develop scalable, accurate, and maintainable data models using Power BI, with a clear understanding of Data Modeling, DAX, Power Query, and visualization principles.

• Programming Proficiency: Use SQL and Python for complex data manipulation, automation, and analysis.

• Business Problem Translation: Collaborate with stakeholders to convert business problems into structured data-centric solutions considering performance, scalability, and commercial goals.

• Hypothesis Development: Break down complex use-cases into testable hypotheses and define relevant datasets required for evaluation.

• Solution Design: Create wireframes, proof-of-concepts (POC), and final dashboards in line with business requirements.

• Dashboard Quality: Ensure dashboards meet high standards of data accuracy, visual clarity, performance, and support SLAs.

• Performance Optimization: Continuously enhance user experience by improving performance, maintainability, and scalability of Power BI solutions.

• Troubleshooting & Support: Quick resolution of access, latency, and data issues as per defined SLAs.

• Power BI Development: Use power BI desktop for report building and service for distribution 

• Backend development: Develop optimized SQL queries that are easy to consume, maintain and debug.

• Version Control: Strict control on versions by tracking CRs and Bugfixes. Ensuring the maintenance of Prod and Dev dashboards. 

• Client Servicing : Engage with clients to understand their data needs, gather requirements, present insights, and ensure timely, clear communication throughout project cycles.

• Team Management : Lead and mentor a small team by assigning tasks, reviewing work quality, guiding technical problem-solving, and ensuring timely delivery of dashboards and reports..

Must-Have Skills

• Strong experience building robust data models in Power BI
• Hands-on expertise with DAX (complex measures and calculated columns)
• Proficiency in M Language (Power Query) beyond drag-and-drop UI
• Clear understanding of data visualization best practices (less fluff, more insight)
• Solid grasp of SQL and Python for data processing
• Strong analytical thinking and ability to craft compelling data stories
• Client Servicing Background.

Good-to-Have (Bonus Points)

• Experience using DAX Studio and Tabular Editor
• Prior work in a high-volume data processing production environment
• Exposure to modern CI/CD practices or version control with BI tools

Why Join Ven Analytics?

• Be part of a fast-growing startup that puts data at the heart of every decision.
• Opportunity to work on high-impact, real-world business challenges.
• Collaborative, transparent, and learning-oriented work environment.
• Flexible work culture and focus on career development.

Requires that any candidate know the M365 Collaboration environment. SharePoint Online, MS Teams. Exchange Online, Entra and Purview. Need developer that possess a strong understanding of Data Structure, Problem Solving abilities, SQL, PowerShell, MS Teams App Development, Python, Visual Basic, C##, JavaScript, Java, HTML, PHP, C.

Need a strong understanding of the development lifecycle, and possess debugging skills time management, business acumen, and have a positive attitude is a must and open to continual growth.

Capability to code appropriate solutions will be tested in any interview.

Knowledge of a wide variety of Generative AI models

Conceptual understanding of how large language models work

Proficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)

Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)

Experience- 6 to 8 years

Location- Bangalore

Job Description-

- Extensive experience with machine learning utilizing the latest analytical models in Python. (i.e., experience in generating data-driven insights that play a key role in rapid decision-making and driving business outcomes.)

- Extensive experience using Tableau, table design, PowerApps, Power BI, Power Automate, and cloud environments, or equivalent experience designing/implementing data analysis pipelines and visualization.

- Extensive experience using AI agent platforms. (AI = data analysis: a required skill for data analysts.)

- A statistics major or equivalent understanding of statistical analysis results interpretation.

Review Criteria

• Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
• 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
• 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
• Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
• Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
• Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
• Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
• Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.

Preferred

• Ability to build insightful dashboards and executive reports highlighting user engagement, retention, and behavioral metrics; familiarity with mixed-method research, AI-assisted insight tools (Dovetail, EnjoyHQ, Qualtrics, UserZoom), and mentoring junior researchers

Job Specific Criteria

• CV Attachment is mandatory
• We have an alternate Saturday’s working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

Product Conceptualization & UX Strategy Development:

• Conceptualize customer experience strategies
• Collaborate with product managers to conceptualize new products & align UX with product roadmaps.
• Develop and implement UX strategies that align with business objectives.
• Stay up-to-date with industry trends and best practices in UX & UI for AI.
• Assist in defining product requirements and features.
• Use data analytics to inform product strategy and prioritize features.
• Ensure product alignment with customer needs and business goals.Develop platform blueprints that include a features and functionalities map, ecosystem map, and information architecture.
• Create wireframes, prototypes, and mock-ups using tools like Figma
• Conduct usability testing and iterate designs based on feedback
• Employ tools like X-Mind for brainstorming and mind mapping

Customer Journey Analysis:

• Understand and map out customer journeys and scenarios.
• Identify pain points and opportunities for improvement.
• Develop customer personas and empathy maps.

Cross-Functional Collaboration:

• Work closely with internal units such as UX Research, Design, UX Content, and UX QA to ensure seamless delivery of CX initiatives.
• Coordinate with development teams to ensure UX designs are implemented accurately.

Data Analytics and Tools:

• Utilize clickstream and analytics tools like Google Analytics, CleverTap, and Medallia to gather and analyse user data.
• Leverage data to drive decisions and optimize customer experiences.
• Strong background in data analytics, including proficiency in interpreting complex datasets to inform UX decisions.

Ideal Candidate

• Bachelor’s or Master’s degree in a relevant field (e.g., UX Design, Human-Computer Interaction, Computer Science, Marketing).
• 5+ years of experience in CX/UX roles, preferably in a B2C environment.
• Proficiency in analytics tools (Google Analytics, CleverTap, Medallia, Hotjar, etc).
• Strong understanding of wireframing and prototyping tools (Figma, XMind, etc).
• Excellent communication and collaboration skills.
• Proven experience in managing cross-functional teams and projects.
• Strong background in data analytics and data-driven decision-making.
• Expert understanding of user experience and user-centered design approaches
• Detail-orientation with experience and will to continuously learn, adapt and evolve
• Creating and measuring the success and impact of your CX designs
• Knowledge of testing tools like Maze, UsabiltyHub, UserZoom would be a plus
• Experienced in designing responsive websites as well as mobile apps
• Understanding of iOS and Android design guidelines
• Passion for great customer-focus design, purposeful aesthetic sense and generating simple solutions to complex problems.
• Excellent communication skills to be able to present their work and ideas to the leadership team.

Knowledge & Experience:

• Providing Technical leadership and guidance to Teams In Data and Analytics engineering solutions and platforms 
• Strong problem-solving skills and the ability to translate business requirements into actionable data science solutions. 
• Excellent communication skills, with the ability to effectively convey complex ideas to technical and non-technical stakeholders. 
• Strong team player with excellent interpersonal and collaboration skills. 
• Ability to manage multiple projects simultaneously and deliver high-quality results within specified timelines. 
• Proven ability to work collaboratively in a global, matrixed environment and engage effectively with global stakeholders across multiple business groups.

Relevant Experience:

• 12+ years of IT experience in delivering medium-to-large data engineering, and analytics solutions
• Min. 4 years of Experience working with Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL, Power BI, SAC and other BI, data visualization and exploration tools
• Deep understanding of master data management & governance concepts and methodologies
• Experience in Data Modelling & Source System Analysis 
• Familiarity with PySpark 
• Mastery of SQL 
• Experience with Python programming language used for Data Engineering purpose. 
• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows. 
• Preferred but not required - 
• Microsoft Certified: Azure Data Engineer Associate 
• Experience in preparing data for Data Science and Machine Learning 
• Knowledge of Jupyter Notebooks or Databricks Notebooks for Python development 
• Power BI Dataset Development and Dax 
• Power BI Report development 
• Exposure to AI services in Azure and Agentic Analytics solutions

Who we are:

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions

Kanerika has won several awards over the years, including:

CMMI Level 3 Appraised in 2024.

Best Place to Work 2022 & 2023 by Great Place to Work®.

Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.

NASSCOM Emerge 50 Award in 2014.

Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture.

Recognized for ISO 27701, 27001, SOC2, and GDPR compliances.

Featured as Top Data Analytics Services Provider by GoodFirms.

Working for us

Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.

Locations

We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).

Required Qualifications:

- 15+ years in data governance and management.

- Expertise in Microsoft Purview, Informatica, and related platforms.

- Experience leading end-to-end governance initiatives.

- Strong understanding of metadata, lineage, policy management, and compliance regulations.

- Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture.

- Familiar with Agile methodologies and stakeholder communication.

What You Will Do:

As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include:

1. Strategy, Framework, and Governance Operating Model

- Develop and maintain enterprise-wide data governance strategies, standards, and policies.

- Align governance practices with business goals like regulatory compliance and analytics readiness.

- Define roles and responsibilities within the governance operating model.

- Drive governance maturity assessments and lead change management initiatives.

2. Stakeholder Alignment & Organizational Enablement

- Collaborate across IT, legal, business, and compliance teams to align governance priorities.

- Define stewardship models and create enablement, training, and communication programs.

- Conduct onboarding sessions and workshops to promote governance awareness.

3. Architecture Design for Data Governance Platforms

- Design scalable and modular data governance architecture.

- Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica.

- Ensure integration with metadata, privacy, quality, and policy systems.

4. Microsoft Purview Solution Architecture

- Lead end-to-end implementation and management of Microsoft Purview.

- Configure RBAC, collections, metadata scanning, business glossary, and classification rules.

- Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards.

5. Metadata, Lineage & Glossary Management

- Architect metadata repositories and ingestion workflows.

- Ensure end-to-end lineage (ADF → Synapse → Power BI).

- Define governance over business glossary and approval workflows.

6. Data Classification, Access & Policy Management

- Define and enforce rules for data classification, access, retention, and sharing.

- Align with GDPR, HIPAA, CCPA, SOX regulations.

- Use Microsoft Purview and MIP for policy enforcement automation.

7. Data Quality Governance

- Define KPIs, validation rules, and remediation workflows for enterprise data quality.

- Design scalable quality frameworks integrated into data pipelines.

8. Compliance, Risk, and Audit Oversight

- Identify risks and define standards for compliance reporting and audits.

- Configure usage analytics, alerts, and dashboards for policy enforcement.

9. Automation & Integration

- Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs.

- Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms.

Who we are :

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

What You Will Do :

As a Data Governance Developer at Kanerika, you will be responsible for building and managing metadata, lineage, and compliance frameworks across the organizations data ecosystem.

Required Qualifications :

- 4 to 6 years of experience in data governance or data management.

- Strong experience in Microsoft Purview and Informatica governance tools.

- Proficient in tracking and visualizing data lineage across systems.

- Familiar with Azure Data Factory, Talend, dbt, and other integration tools.

- Understanding of data regulations : GDPR, CCPA, SOX, HIPAA.

- Ability to translate technical data governance concepts for business stakeholders.

Tools & Technologies :

- Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog

- Experience in Microsoft Purview areas :

1. Label creation and policy management

2. Publish/Auto-labeling

3. Data Loss Prevention & Compliance handling

4. Compliance Manager, Communication Compliance, Insider Risk Management

5. Records Management, Unified Catalog, Information Barriers

6. eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit

7. DSPM, Data Policy

Key Responsibilities :

- Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC).

- Integrate Purview with data sources : Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake.

- Schedule and monitor metadata scanning and classification jobs.

- Implement and maintain collection hierarchies aligned with data ownership.

- Design metadata ingestion workflows for technical, business, and operational metadata.

- Enrich data assets with business context : descriptions, glossary terms, tags.

- Synchronize metadata across tools using REST APIs, PowerShell, or ADF.

- Validate end-to-end lineage for datasets and reports (ADF ? Synapse ? Power BI).

- Resolve lineage gaps or failures using mapping corrections or scripts.

- Perform impact analysis to support downstream data consumers.

- Create custom classification rules for sensitive data (PII, PCI, PHI).

- Apply and manage Microsoft Purview sensitivity labels and policies.

- Integrate with Microsoft Information Protection (MIP) for DLP.

- Manage business glossary in collaboration with domain owners and stewards.

- Implement approval workflows and term governance.

- Conduct audits for glossary and metadata quality and consistency.

- Automate Purview operations using :

- PowerShell, Azure Functions, Logic Apps, REST APIs

- Build pipelines for dynamic source registration and scanning.

- Automate tagging, lineage, and glossary term mapping.

- Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs.

What You Will Do :

As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance.

Required Qualifications :

- 7+ years of experience in data governance and data management.

- Proficient in Microsoft Purview and Informatica data governance tools.

- Strong in metadata management, lineage mapping, classification, and security.

- Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools.

- Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs.

- Skilled in bridging technical governance with business and compliance goals.

Tools & Technologies :

- Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog

- Microsoft Purview capabilities :

1. Label creation & policy setup

2. Auto-labeling & DLP

3. Compliance Manager, Insider Risk, Records & Lifecycle Management

4. Unified Catalog, eDiscovery, Data Map, Audit, Compliance alerts, DSPM.

Key Responsibilities :

1. Governance Strategy & Stakeholder Alignment :

- Develop and maintain enterprise data governance strategies, policies, and standards.

- Align governance with business goals : compliance, analytics, and decision-making.

- Collaborate across business, IT, legal, and compliance teams for role alignment.

- Drive governance training, awareness, and change management programs.

2. Microsoft Purview Administration & Implementation :

- Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure.

- Optimize Purview setup for large-scale environments (50TB+).

- Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake.

- Schedule scans, set classification jobs, and maintain collection hierarchies.

3. Metadata & Lineage Management :

- Design metadata repositories and maintain business glossaries and data dictionaries.

- Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions.

- Ensure lineage mapping (ADF ? Synapse ? Power BI) and impact analysis.

4. Data Classification & Security Governance :

- Define classification rules and sensitivity labels (PII, PCI, PHI).

- Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager.

- Enforce records management, lifecycle policies, and information barriers.

5. Data Quality & Policy Management :

- Define KPIs and dashboards to monitor data quality across domains.

- Collaborate on rule design, remediation workflows, and exception handling.

- Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management.

6. Business Glossary & Stewardship :

- Maintain business glossary with domain owners and stewards in Purview.

- Enforce approval workflows, standard naming, and steward responsibilities.

- Conduct metadata audits for glossary and asset documentation quality.

7. Automation & Integration :

- Automate governance processes using PowerShell, Azure Functions, Logic Apps.

- Create pipelines for ingestion, lineage, glossary updates, tagging.

- Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc.

8. Monitoring, Auditing & Compliance :

- Set up dashboards for audit logs, compliance reporting, metadata coverage.

- Oversee data lifecycle management across its phases.

- Support internal and external audit readiness with proper documentation.

Business Analyst

Domain: Product / Fintech / Credit Cards

Mandatory Technical Skill Set

• Previous experience in a product-based company is mandatory
• Experience working with credit bureau data (CIBIL, Experian, Equifax, etc.) for customer profiling, credit risk insights, or strategy building
• Churn analysis and strategy building on subscription management experience
• BNPL or credit cards growth strategy building experience
• ML model development experience is a plus
• Python
• Statistical analysis and A/B testing
• Excel
• SQL
• Visualization tools such as Redash / Grafana / Tableau / Power BI
• Bitbucket, GitHub, and other versioning tools

Roles and Responsibilities

• Work on product integrations, data collection, and data sanity checks
• Improve product features for sustainable churn management
• Cohort analysis and strategy building for credit card usage growth
• Conduct A/B testing for better subscription conversion and offers
• Monitor key business metrics
• Track changes and perform impact analysis

Power BI Developer-𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗠𝗶𝗻𝗶𝗻𝗴

Work Location: Noida (Hybrid).

What you’ll do:

• 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗺𝗶𝗻𝗶𝗻𝗴 𝘂𝘀𝗶𝗻𝗴 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 & 𝗣𝗼𝘄𝗲𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲
• 𝗕𝘂𝗶𝗹𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹𝘀 & 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀
• 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 𝘄𝗶𝘁𝗵 𝘀𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿𝘀 𝘁𝗼 𝗱𝗲𝗳𝗶𝗻𝗲 𝗞𝗣𝗜𝘀 & 𝘂𝗻𝗰𝗼𝘃𝗲𝗿 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸𝘀

What we’re looking for:

• 𝟱+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲
• 𝗦𝘁𝗿𝗼𝗻𝗴 𝗗𝗔𝗫, 𝗣𝗼𝘄𝗲𝗿 𝗤𝘂𝗲𝗿𝘆 & 𝗦𝗤𝗟 𝘀𝗸𝗶𝗹𝗹𝘀
• 𝗣𝗿𝗼𝘃𝗲𝗻 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗺𝗶𝗻𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
• 𝗣𝗼𝘄𝗲𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗶𝘀 𝗮 𝗽𝗹𝘂𝘀

About ThoughtClan Technologies

ThoughtClan is a niche, technology-focused, 100+ people strong software company that works on building complex enterprise-scale web and mobile-oriented digitalization and data science-related projects. They are in IT Services as well as Product Development space. They focus on applying technology to enable businesses to function better. ThoughtClan is a team of highly specialized technical folks and is growing rapidly.

They have expertise in developing projects related to:

1. Data Science — including Image Analytics, Video Analytics, Building AI/ML-based Prediction Models, etc.
2. Blockchain — based Cryptocurrency and NFT projects.
3. Enterprise-Scale Greenfield Web and Mobile Application Development, Integration, eCommerce, Marketing, and Content Management projects.

We are looking for a Data Scientist to join our fast-growing team.

The candidate must have:

• 3–4 years’ experience in Data Modeling in Python and AI/ML.
• Hands-on experience with Machine Learning and Deep Learning techniques and tools. Tools: RAG, LLMs, Agentic AI, Langchain, Langgraph, PyTorch, OpenCV, Pandas, Scikit Learn, CrewAI, Autogen or AI chatbots. Proven ability to use/create algorithms and run simulations. Experience: Minimum 1–1.5 years or 2 projects. A technical understanding of Microservice Architectures is a plus.
• Good knowledge of Azure Platform for deployment.
• Good knowledge of web frameworks such as Flask.
• Hands-on knowledge on a NoSQL database (Maria DB, Mongo DB, etc.).
• Experience in Visualization of Data using tools like D3.js, Plotly, Power BI, and Tableau. Experience in visualizing large data is a plus.
• Experience using a variety of data mining/data analysis methods with the ability to drive business results using data-based insights and work with large data sets.
• Comfortable working with a wide range of stakeholders and functional teams.
• Good designing skills and communication skills.
• Good knowledge of front-end technologies (HTML, CSS, etc.) would be an advantage.

Role: Data Scientist (Python + R Expertise)

Exp: 8 -12 Years

CTC: up to 30 LPA

Required Skills & Qualifications:

• 8–12 years of hands-on experience as a Data Scientist or in a similar analytical role.
• Strong expertise in Python and R for data analysis, modeling, and visualization.
• Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, caret, etc.).
• Strong understanding of statistical modeling, hypothesis testing, regression, and classification techniques.
• Experience with SQL and working with large-scale structured and unstructured data.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment practices (Docker, MLflow).
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• Experience with NLP, time series forecasting, or deep learning projects.
• Exposure to data visualization tools (Tableau, Power BI, or R Shiny).
• Experience working in product or data-driven organizations.
• Knowledge of MLOps and model lifecycle management is a plus.

If interested kindly share your updated resume on 82008 31681

CTC: 15 LPA to 21 LPA

Exp: 5 to 8 Years

Mandatory

• Strong Behavioral Data Analyst Profiles
• Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
• Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
• Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
• Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
• Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
• Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
• Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
• Mandatory (Note): Don't want data analysis but business/product/user analysts

Ideal Candidate:

• Bachelor’s or Master’s degree in a relevant field (e.g., UX Design, Human-Computer Interaction, Computer Science, Marketing).
• 5+ years of experience in CX/UX roles, preferably in a B2C environment.
• Proficiency in analytics tools (Google Analytics, CleverTap, Medallia, Hotjar, etc).
• Strong understanding of wireframing and prototyping tools (Figma, XMind, etc).
• Excellent communication and collaboration skills.
• Proven experience in managing cross-functional teams and projects.
• Strong background in data analytics and data-driven decision-making.
• Expert understanding of user experience and user-centered design approaches
• Detail-orientation with experience and will to continuously learn, adapt and evolve
• Creating and measuring the success and impact of your CX designs
• Knowledge of testing tools like Maze, UsabiltyHub, UserZoom would be a plus
• Experienced in designing responsive websites as well as mobile apps
• Understanding of iOS and Android design guidelines
• Passion for great customer-focus design, purposeful aesthetic sense and generating simple solutions to complex problems.
• Excellent communication skills to be able to present their work and ideas to the leadership team.

If interested kindly share your updated resume on 82008 31681

Location: Bangalore

Experience: 5–8 Years

CTC: Up to 22 LPA

Required Skills:

• Strong expertise in Power BI (dashboarding, DAX, data modeling, report building).
• Basic to working knowledge of Tableau.
• Solid understanding of SQL and relational databases.
• Experience in connecting to various data sources (Excel, SQL Server, APIs, etc.).
• Strong analytical, problem-solving, and communication skills.

Nice to Have:

• Experience with cloud data platforms (Azure, AWS, GCP).
• Knowledge of data warehousing concepts and ETL processes.

Data Engineer

Experience: 4–6 years

Key Responsibilities

• Design, build, and maintain scalable data pipelines and workflows.
• Manage and optimize cloud-native data platforms on Azure with Databricks and Apache Spark (1–2 years).
• Implement CI/CD workflows and monitor data pipelines for performance, reliability, and accuracy.
• Work with relational databases (Sybase, DB2, Snowflake, PostgreSQL, SQL Server) and ensure efficient SQL query performance.
• Apply data warehousing concepts including dimensional modelling, star schema, data vault modelling, Kimball and Inmon methodologies, and data lake design.
• Develop and maintain ETL/ELT pipelines using open-source frameworks such as Apache Spark and Apache Airflow.
• Integrate and process data streams from message queues and streaming platforms (Kafka, RabbitMQ).
• Collaborate with cross-functional teams in a geographically distributed setup.
• Leverage Jupyter notebooks for data exploration, analysis, and visualization.

Required Skills

• 4+ years of experience in data engineering or a related field.
• Strong programming skills in Python with experience in Pandas, NumPy, Flask.
• Hands-on experience with pipeline monitoring and CI/CD workflows.
• Proficiency in SQL and relational databases.
• Familiarity with Git for version control.
• Strong communication and collaboration skills with ability to work independently.

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring business professionals interested in operations management, executive support, and administration. The internship offers flexible start and end dates. A short quiz or task may be required as part of the selection process.

Responsibilities:

• Provide daily operational and administrative support to the COO.
• Assist with project tracking, documentation, and reporting.
• Conduct research and data analysis to support executive decision-making.
• Coordinate communication across departments and external stakeholders.
• Help identify process inefficiencies and recommend improvements.
• Prepare presentations, reports, and other documents for leadership.

Please send your resume to talent@springercapital

🚀 Hiring: MIS Executive (CA | Power BI Expert) – Andheri East

💼 Company Industry: Financial Services (CFO Services for clients across Manufacturing, Retail, FMCG, Pharma company with approx 150 Cr. Turnover & more)

📍 Location: Client Site – Andheri East, Mumbai

🕒 Timings: 10 AM – 7 PM | 6 Days

Role Overview

We are looking for a detail-oriented MIS Executive with a flair for data visualization & financial reporting. The ideal candidate will be a CA with strong analytical skills, hands-on experience in Power BI, and the ability to transform complex financial/operational data into actionable insights.

Key Responsibilities

Develop & maintain MIS reports & dashboards for management review.

Collect, consolidate & analyze data to generate insights for business decisions.

Automate reports & streamline processes using Power BI & Excel.

Support teams with ad-hoc analysis & data visualization.

Ensure accuracy, consistency & timeliness of all reports.

Qualifications & Skills

✔ Chartered Accountant (CA) with 1–2 years’ experience

✔ Expertise in Power BI (mandatory) & Advanced Excel

✔ Strong knowledge of financial reporting & data analysis

✔ Excellent communication & presentation skills

✔ Detail-oriented & deadline-driven

💯What will you do?

• Create and conduct engaging and informative Data Science classes that incorporate real-world examples and hands-on activities to ensure student engagement and retention.
• Evaluate student projects to ensure they meet industry standards and provide personalised, constructive feedback to students to help them improve their skills and understanding.
• Conduct viva sessions to assess student understanding and comprehension of the course materials. You will evaluate each student's ability to apply the concepts they have learned in real-world scenarios and provide feedback on their performance.
• Conduct regular assessments to evaluate student progress, provide feedback to students, and identify areas for improvement in the curriculum.
• Stay up-to-date with industry developments, best practices, and trends in Data Science, and incorporate this knowledge into course materials and instruction.
• Work with the placements team to provide guidance and support to students as they navigate their job search, including resume and cover letter reviews, mock interviews, and career coaching.
• Train the TAs to take the doubt sessions and for project evaluations

💯Who are we looking for?

We are looking for someone who has:

• A minimum of 1-2 years of industry work experience in data science or a related field. Teaching experience is a plus.
• In-depth knowledge of various aspects of data science like Python, MYSQL, Power BI, Excel, Machine Learning with statistics, NLP, DL.
• Knowledge of AI tools like ChatGPT (latest versions as well), debugcode.ai, etc.
• Passion for teaching and a desire to impart practical knowledge to students.
• Excellent communication and interpersonal skills, with the ability to engage and motivate students of all levels.
• Experience with curriculum development, lesson planning, and instructional design is a plus.
• Familiarity with learning management systems (LMS) and digital teaching tools will be an added advantage.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.

💯What do we offer in return?

• Awesome colleagues & a great work environment - Internshala is known for its culture (see for yourself) and has twice been recognized as a Great Place To Work in the last 3 years
• A massive learning opportunity to be an early member of a new initiative and experience building it from scratch
• Competitive remuneration

💰 Compensation - Competitive remuneration based on your experience and skills

📅 Start date - Immediately

Job Summary

The Data Analyst is required to Data capture, data cleaning, data preparation, data management and data analysis and interpretations required by the Business. Handle data factory with precision and confidentiality. The role is crucial for providing actionable insights to improve teaching quality, enhance student performance, optimize business operations, and drive growth.

Essential Job Responsibilities:

Academic Data Analysis

·       Analyze student performance data from internal assessments, mock tests, and board exams.

·       Identify trends in subject-wise performance, batch-wise progress, and dropout patterns.

·       Generate reports to assist academic heads in making data-driven interventions.

·       Predict outcomes of upcoming competitive exams (JEE/NEET) based on historical data.

Business & Marketing Intelligence

·       Monitor enrollment trends, inquiry-to-admission conversions, and campaign ROI.

·       Provide insights into market behavior, location-wise performance, and competitor benchmarking.

·       Analyze fee structures, discounts, and scholarship schemes for profitability and optimization.

Operational & Centre Efficiency

·       Evaluate the performance of branches/centres using KPIs like retention rate, attendance, student satisfaction, and staff productivity.

·       Support planning for new center openings with predictive enrollment data and location-based analytics.

Technology & Automation

·       Build and maintain dashboards using BI tools (Power BI, Tableau, Excel, Google Data Studio).

·       Work closely with IT or CRM teams to ensure data accuracy and integrity across systems.

·       Automate regular reporting processes to reduce manual workload.

Strategic Decision Support

·       Support senior management with forecasting models, statistical reports, and scenario simulations.

·       Present insights in the form of structured reports, visual dashboards, or presentations.

Supervisory Responsibilities

Number of subordinate supervisors reporting to this job

N/A

Total number of employees supervised; include those directly supervised and those supervised through subordinate supervisors

N/A

Job Qualifications: 

Education

·       Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or related field.

Experience

·       Must be a highly-skilled with 3+ years of experience.

·       Demonstrate ability to successfully process all work types

Knowledge / Skills

·       Analytical skills & Critical Thinking

·       Data Visualization

·       Microsoft Excel, VBA, R , Python, Tableau, Power BI

·       Efficient in AI powered Data analysis tools

Licenses / Certifications

·       Data Analytics desirable

Working Conditions:

Virtual environment, extended length of time in sitting position, medium stress environment

Physical Demands:

N/A

Exp: 10+ Years

CTC: 1.7 LPM

Location: Pune

SnowFlake Expertise Profile

Should hold 10 + years of experience with strong skills with core understanding of cloud data warehouse principles and extensive experience in designing, building, optimizing, and maintaining robust and scalable data solutions on the Snowflake platform.

Possesses a strong background in data modelling, ETL/ELT, SQL development, performance tuning, scaling, monitoring and security handling.

Responsibilities:

* Collaboration with Data and ETL team to review code, understand current architecture and help improve it based on Snowflake offerings and experience

* Review and implement best practices to design, develop, maintain, scale, efficiently monitor data pipelines and data models on the Snowflake platform for

ETL or BI.

* Optimize complex SQL queries for data extraction, transformation, and loading within Snowflake.

* Ensure data quality, integrity, and security within the Snowflake environment.

* Participate in code reviews and contribute to the team's development standards.

Education:

* Bachelor’s degree in computer science, Data Science, Information Technology, or anything equivalent.

* Relevant Snowflake certifications are a plus (e.g., Snowflake certified Pro / Architecture / Advanced).

Job Description: Oracle BI Publisher Developer

Position Type

• Work Type: Full-time

• Employment Type: Contract

Experience Required

• Minimum 1 year of hands-on experience in:

o Oracle Database: SQL development, performance tuning, data modelling

o Oracle BI Publisher: Report design, template customization, data source integration

Technical Skills

• Mandatory:

o Oracle SQL & PL/SQL

o BI Publisher report development and deployment

o XML and XSLT for template customization

• Preferred:

o Experience with Oracle E-Business Suite or Fusion Applications

o Familiarity with data visualization principles

o Basic understanding of performance metrics and report optimization

Responsibilities

• Design, develop, and maintain BI Publisher reports based on business requirements

• Write and optimize SQL queries for data extraction and transformation

• Collaborate with stakeholders to ensure report accuracy and usability

• Troubleshoot and resolve issues related to data and report performance

• Document technical specifications and maintain version control

Proven experience as a Data Scientist or similar role with relevant experience of at least 4 years and total experience 6-8 years.

· Technical expertiseregarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks

· Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features

· Hands on experience in data visualization tools – Power BI preferred

· Solid understanding of machine learning

· Knowledge of data management and visualization techniques

· A knack for statistical analysis and predictive modeling

· Good knowledge of Python and Matlab

· Experience with SQL and NoSQL databases including ability to write complex queries and procedures

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring data engineers interested in data pipeline development, data integration, and business intelligence.

The internship offers flexible start and end dates. A short quiz or technical task may be required as part of the selection process.

Responsibilities:

• Design, build, and maintain scalable data pipelines for structured and unstructured data sources
• Develop ETL processes to collect, clean, and transform data from internal and external systems
• Support integration of data into dashboards, analytics tools, and reporting systems
• Collaborate with data analysts and software developers to improve data accessibility and performance
• Document workflows and maintain data infrastructure best practices
• Assist in identifying opportunities to automate repetitive data tasks

Key Responsibilities:

Design, develop, and maintain interactive dashboards and reports using Power BI and Looker.

Write and optimize DAX queries to support complex business logic and calculations.

Collaborate with data engineers, analysts, and business stakeholders to understand reporting needs and translate them into technical solutions.

Ensure data accuracy, consistency, and performance across BI solutions.

Perform data analysis and validation to support business initiatives.

Automate and streamline reporting processes for efficiency and scalability.

Stay updated with the latest BI tools, trends, and best practices.

Required Skills & Qualifications:

Minimum 5 years of experience in BI development and data analytics.

Strong proficiency in Power BI, including DAX and Power Query.

Hands-on experience with Looker and LookML.

Solid understanding of data modeling, ETL processes, and SQL.

Ability to work with large datasets and optimize performance.

Excellent problem-solving and communication skills.

Bachelordegree in Computer Science, Information Systems, or a related field.

Data Automation Intern (Remote) 

GreenTree is an asset management firm specializing in cross-border real estate investment banking in China and the USA. This is an online/remote internship. The internship is unpaid. It is up to the applicant's discretion to choose a start and end date (the dates listed on the posting are flexible). You will be given a short quiz to test your background and passion for data automation. 

Responsibilities: 

• ▪ Work with large datasets to clean, transform, and organize data for analysis and reporting. 
• ▪ Develop and implement automated data pipelines using Excel, Power Query, Power BI, or other data tools. 
• ▪ Research and recommend tools to improve data workflow efficiency. 
• ▪ Collaborate with other teams to gather data requirements and support automation goals. 
• ▪ Test and troubleshoot automated solutions and workflows to ensure data accuracy. 

Qualifications: 

• ▪ Strong understanding of Excel and data processing tools (Power Query, Power BI, or similar). 
• ▪ Passion for automating data workflows and improving efficiency. 
• ▪ Excellent attention to detail and problem-solving skills. 
• ▪ Proficient in Microsoft Office Suite (especially Excel), and familiarity with Google Sheets is a plus. 
• ▪ Self-driven and organized with strong communication skills. 
• ▪ Willingness to learn new tools and apply feedback quickly. 
• ▪ Ability to prioritize and manage multiple tasks independently. 

While this position is unpaid, it can be used to receive course credit at partner universities. 

About GreenTree: 

GreenTree provides project identification, acquisition negotiation, developer liquidity, strata asset pricing, property management, and leasing solutions. GreenTree identifies and underwrites project risk, pricing, and strategies while simultaneously negotiating with developers and 3rd-party sales rep companies for projects in the USA and China. 

Our value-add is project identification, acquisition negotiation, developer liquidity, strata asset pricing, property management, and leasing solutions. GreenTree identifies and underwrites project risk, pricing, and strategies while simultaneously negotiating with the developer and 3rd-party sales rep companies. 

Greentree’s website: www.greentree.group 

Remote Job Opportunity

Job Title: Data Scientist

Contract Duration: 6 months+

Location: offshore India

Work Time: 3 pm to 12 am

Must have 4+ Years of relevant experience.

Job Summary:

We are seeking an AI Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling to design, develop, and deploy cutting-edge AI solutions.

The ideal candidate will have expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques. You will work on high-impact projects, from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI.

Key Responsibilities:

Research, design, and implement machine learning and deep learning models for predictive and generative AI applications.

Apply advanced statistical methods to improve model robustness and interpretability.

Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.

Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation.

Work closely with ML engineers to validate, train, and deploy the models.

Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions.

Qualifications & Skills:

Education: PhD or Master's degree in Statistics, Mathematics, Computer Science, or a related field.

Experience:

4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.

Proficiency in SQL, Python and visualization tools ( Power BI).

Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries

Strong communication skills to interact effectively with both technical and non-technical stakeholders.

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

Job Title : Technology Strategy and Reporting Specialist

Total Experience : 8+ Years

Relevant Experience : Minimum 3 years of experience in Strategic technology planning and reporting.

Location : Remote, Anywhere in India

Job Type : Full Time

Job Overview :

We are seeking a Technology Strategy and Reporting Specialist to lead the development of strategic dashboards, quarterly board reports, and executive-level communications.

The ideal candidate will bridge the gap between technical insights and business strategy, delivering high-impact reports that drive executive decision-making and organizational performance.

Mandatory Skills :

Power BI or Tableau, Advanced Excel, Executive Reporting, Data Analysis, Strategic Dashboarding, IT KPIs, Storytelling, and Communication Skills

Key Responsibilities :

• Quarterly Board Reporting : Deliver structured, governance-aligned technology reports with KPIs, risk assessments, and strategic recommendations for executive leadership and the board.
• Dashboard Development : Build and manage executive dashboards using tools like Power BI/Tableau to showcase real-time performance and strategic metrics.
• Executive Storytelling : Create polished narratives and presentations that translate technical data into compelling business insights.
• Data Analysis & Insights : Analyze performance data, market trends, and technology strategies to identify actionable insights and business opportunities.
• Reporting Framework : Standardize reporting templates, processes, and governance models to ensure consistent, high-quality outputs.
• Technology Performance Monitoring : Track initiative outcomes, ROI, and budget adherence with scorecards and strategic alignment reports.

Desired Experience :

• 3+ Years in business intelligence, strategic reporting, or executive communication.
• Hands-on experience with dashboard tools (Power BI, Tableau, Excel).
• Strong understanding of IT performance metrics and KPIs.
• Proven record of creating board-level/C-suite presentations.

Qualifications :

• Bachelor's in Business Analytics, Computer Science, Information Systems, Engineering, or related field (Master’s preferred).
• Certifications such as PMP, Power BI, Tableau, or Six Sigma are a plus.

Job Summary:

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.

We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will have strong technical skills, business acumen, and the ability to communicate insights effectively.

We are looking for an experienced and dynamic to join our team. The ideal candidate will be responsible for designing, developing, and delivering high-quality technical training programs to students.

We are looking for a dynamic and skilled Business Analyst Trainer with 2 to 5 years of hands-on industry and/or teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in Business Analyst, Power BI, Tableau, Machine learning

We are looking for a passionate and experienced Business Analyst Trainer to join our training team. This role involves delivering high-quality training programs on business analysis tools, methodologies, and best practices, both in-person and online.

Job Description :

We are seeking a highly experienced Sr Data Modeler / Solution Architect to join the Data Architecture team at Corporate Office in Bangalore. The ideal candidate will have 4 to 8 years of experience in data modeling and architecture with deep expertise in AWS cloud stack, data warehousing, and enterprise data modeling tools. This individual will be responsible for designing and creating enterprise-grade data models and driving the implementation of Layered Scalable Architecture or Medallion Architecture to support robust, scalable, and high-quality data marts across multiple business units.

This role will involve managing complex datasets from systems like PoS, ERP, CRM, and external sources, while optimizing performance and cost. You will also provide strategic leadership on data modeling standards, governance, and best practices, ensuring the foundation for analytics and reporting is solid and future-ready.

Key Responsibilities:

·               Design and deliver conceptual, logical, and physical data models using tools like ERWin.

·               Implement Layered Scalable Architecture / Medallion Architecture for building scalable, standardized data marts.

·               Optimize performance and cost of AWS-based data infrastructure (Redshift, S3, Glue, Lambda, etc.).

·               Collaborate with cross-functional teams (IT, business, analysts) to gather data requirements and ensure model alignment with KPIs and business logic.

·               Develop and optimize SQL code, materialized views, stored procedures in AWS Redshift.

·               Ensure data governance, lineage, and quality mechanisms are established across systems.

·               Lead and mentor technical teams in an Agile project delivery model.

·               Manage data layer creation and documentation: data dictionary, ER diagrams, purpose mapping.

·               Identify data gaps and availability issues with respect to source systems.

Required Skills & Qualifications:

·               Bachelor’s or Master’s degree in Computer Science, IT, or related field (B.E./B.Tech/M.E./M.Tech/MCA).

·               Minimum 4 years of experience in data modeling and architecture.

·               Proficiency with data modeling tools such as ERWin, with strong knowledge of forward and reverse engineering.

·               Deep expertise in SQL (including advanced SQL, stored procedures, performance tuning).

·               Strong experience in data warehousing, RDBMS, and ETL tools like AWS Glue, IBM DataStage, or SAP Data Services.

·               Hands-on experience with AWS services: Redshift, S3, Glue, RDS, Lambda, Bedrock, and Q.

·               Good understanding of reporting tools such as Tableau, Power BI, or AWS QuickSight.

·               Exposure to DevOps/CI-CD pipelines, AI/ML, Gen AI, NLP, and polyglot programming is a plus.

·               Familiarity with data governance tools (e.g., ORION/EIIG).

·               Domain knowledge in Retail, Manufacturing, HR, or Finance preferred.

·               Excellent written and verbal communication skills.

Certifications (Preferred):

·               AWS Certification (e.g., AWS Certified Solutions Architect or Data Analytics – Specialty)

·               Data Governance or Data Modeling Certifications (e.g., CDMP, Databricks, or TOGAF)

Mandatory Skills

aws, Technical Architecture, Aiml, SQL, Data Warehousing, Data Modelling

Job Description:

We are seeking a skilled Power BI Developer with a strong understanding of Capital Markets to join our data analytics team. The ideal candidate will be responsible for designing, developing, and maintaining interactive dashboards and reports that provide insights into trading, risk, and financial performance. This role requires experience working with capital market data sets and a solid grasp of financial instruments and market operations.

Key Responsibilities:

• Develop interactive Power BI dashboards and reports tailored to capital markets (e.g., equities, derivatives, fixed income).
• Connect to and integrate data from various sources such as Bloomberg, Reuters, SQL databases, and Excel.
• Translate business requirements into data models and visualizations that provide actionable insights.
• Optimize Power BI reports for performance, usability, and scalability.
• Work closely with business stakeholders (trading, risk, compliance) to understand KPIs and analytics needs.
• Implement row-level security and data access controls.
• Maintain data quality, lineage, and versioning documentation.

Required Skills & Qualifications:

• 3+ years of experience with Power BI (Power Query, DAX, data modeling).
• Strong understanding of capital markets: trading workflows, market data, instruments (equities, bonds, derivatives, etc.).
• Experience with SQL and working with large financial datasets.
• Familiarity with risk metrics, trade lifecycle, and financial statement analysis.
• Knowledge of data governance, security, and performance tuning in BI environments.
• Excellent communication skills and ability to work with cross-functional teams.

Preferred Qualifications:

• Experience with Python or R for data analysis.
• Knowledge of investment banking or asset management reporting frameworks.
• Exposure to cloud platforms like Azure, AWS, or GCP.
• Certifications in Power BI or Capital Markets.