MSBI Developer at Data Semantics · Remote, Hyderabad, Bengaluru (Bangalore) · 4 - 15 years · ₹3L - ₹30L / yr · Profitable · Remote friendly · Posted 14 Jun 2023

It's regarding a permanent opening with Data Semantics
Data Semantics
We are Product base company and Microsoft Gold Partner
Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies. We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions.
Our Services include:
Business Intelligence & Visualization
App and Data Modernization
Low Code Application Development
Artificial Intelligence
Internet of Things
Data Warehouse Modernization
Robotic Process Automation
Advanced Analytics
Our Products:
Sirius – World’s most agile conversational AI platform
Serina
Conversational Analytics
Contactless Attendance Management System
Company URL: https://datasemantics.co
JD:
MSBI
SSAS
SSRS
SSIS
Datawarehousing
SQL

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· Perform advanced T-SQL development and performance tuning, including execution plans, indexing, query optimization, stored procedures, views, and complex queries.
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· Support and troubleshoot SSAS Tabular and Multidimensional models, including processing, calculations, relationships, security, and performance.
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· Support Microsoft Fabric solutions including Data Pipelines, Dataflows Gen2, Lakehouse/Warehouse, semantic models, and Power BI integration.
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· Analyze and troubleshoot OData feeds, including filtering, pagination, refresh, connectivity, and large-volume data scenarios.
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· Strong hands-on experience with Power BI, DAX, Power Query, and enterprise data modeling.
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· Strong understanding of Data Warehousing, Datamarts, Automart, ETL/ELT, and data modeling.
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- Relevant Microsoft certifications such as PL-300, DP-600, or DP-203 are an added advantage.

Experience: 7–10+ years | Industry Preference: Financial Services / BFSI
Role Overview
We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive
enterprise reporting, analytics, and data insights across the organization. This is a senior,
hands-on role requiring deep technical expertise across the Microsoft data and BI stack,
strong business acumen, and the ability to operate with minimal hand-holding. The ideal
candidate will act as a bridge between business leadership and technical teams, translating
complex business questions into scalable, reliable data models and executive-ready insights.
Key Responsibilities
Serve as the primary owner of enterprise reporting and BI solutions, from data
ingestion through executive dashboards.
Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using
STAR schema best practices.
Partner closely with business stakeholders and C-level executives to define KPIs,
metrics, and reporting requirements.
Lead and present weekly reporting and insights sessions with senior and executive
leadership.
Ensure data accuracy, consistency, and trust across all reports and analytics outputs.
Proactively identify data quality issues, root causes, and remediation strategies.
Drive automation of reporting, alerts, and data refresh processes to reduce manual
effort.
Collaborate with engineering, data, and application teams to align business logic with
source system data structures.
Mentor junior analysts and establish BI standards, best practices, and documentation.
Technical Skills – Data & Backend
Advanced SQL: complex queries, views, stored procedures, and validation against
source systems (RDN, Recovery Connect).
Azure Data Factory: build and manage copy pipelines from SQL sources to data
warehouses / dedicated pools.
Incremental refresh, parameterized pipelines, and schema replication.
Data warehouse design: STAR schema, fact vs dimension tables, handling deleted
records and SCDs.
Technical Skills – Reporting & Frontend
Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.
Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).
Query folding and performance optimization best practices.
Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.
Power Automate integration for alerts and workflow-driven notifications.
Data Quality & Analytics
Ability to clean, normalize, and reconcile data across multiple systems.
Strong troubleshooting skills when business definitions and data do not align.
Translate business terminology into accurate technical mappings and calculations.
Communication & Leadership
Serve as a key liaison between business stakeholders and technical teams.
Comfortable working directly with C-level executives and senior leadership.
Ability to lead executive-level meetings and clearly communicate insights.
Self-starter mindset with minimal hand-holding.
Qualifications
7–10+ years of experience in BI, analytics, or enterprise reporting roles.
Preferred experience in financial services or regulated environments.
Strong experience across the Microsoft BI ecosystem.
Preferred Certifications
Microsoft PL-300 (Power BI Data Analyst)
Microsoft DP-600 (Fabric Analytics Engineer)
Microsoft DP-700 (Fabric Data Engineer)
What Success Looks Like
Executive leadership trusts and relies on BI dashboards for decisions.
Reporting is automated, accurate, and scalable.
BI functions as a strategic partner to the business.
Role Overview
We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive enterprise reporting, analytics, and data insights across the organization. This is a senior, hands-on role requiring deep technical expertise across the Microsoft data and BI stack, strong business acumen, and the ability to operate with minimal hand-holding. The ideal candidate will act as a bridge between business leadership and technical teams, translating complex business questions into scalable, reliable data models and executive-ready insights.
Key Responsibilities
· Serve as the primary owner of enterprise reporting and BI solutions, from data ingestion through executive dashboards.
· Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using STAR schema best practices.
· Partner closely with business stakeholders and C-level executives to define KPIs, metrics, and reporting requirements.
· Lead and present weekly reporting and insights sessions with senior and executive leadership.
· Ensure data accuracy, consistency, and trust across all reports and analytics outputs.
· Proactively identify data quality issues, root causes, and remediation strategies.
· Drive automation of reporting, alerts, and data refresh processes to reduce manual effort.
· Collaborate with engineering, data, and application teams to align business logic with source system data structures.
· Mentor junior analysts and establish BI standards, best practices, and documentation.
Technical Skills – Data & Backend
· Advanced SQL: complex queries, views, stored procedures, and validation against source systems (RDN, Recovery Connect).
· Azure Data Factory: build and manage copy pipelines from SQL sources to data warehouses / dedicated pools.
· Incremental refresh, parameterized pipelines, and schema replication.
· Data warehouse design: STAR schema, fact vs dimension tables, handling deleted records and SCDs.
Technical Skills – Reporting & Frontend
· Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.
· Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).
· Query folding and performance optimization best practices.
· Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.
· Power Automate integration for alerts and workflow-driven notifications.
Data Quality & Analytics
· Ability to clean, normalize, and reconcile data across multiple systems.
· Strong troubleshooting skills when business definitions and data do not align.
· Translate business terminology into accurate technical mappings and calculations.
Communication & Leadership
· Serve as a key liaison between business stakeholders and technical teams.
· Comfortable working directly with C-level executives and senior leadership.
· Ability to lead executive-level meetings and clearly communicate insights.
· Self-starter mindset with minimal hand-holding.
Qualifications
· 7–10+ years of experience in BI, analytics, or enterprise reporting roles.
· Preferred experience in financial services or regulated environments.
· Strong experience across the Microsoft BI ecosystem.
Preferred Certifications
· Microsoft PL-300 (Power BI Data Analyst)
· Microsoft DP-600 (Fabric Analytics Engineer)
· Microsoft DP-700 (Fabric Data Engineer)
What Success Looks Like
· Executive leadership trusts and relies on BI dashboards for decisions.
· Reporting is automated, accurate, and scalable.
· BI functions as a strategic partner to the business.
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Department: MDO
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We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.
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Key Responsibilities
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2. Database & Data Accuracy Management
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● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.
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● Proactively suggest new automation tools, system enhancements, or integrations to
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● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.
● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.
5. Cross-Functional Coordination & Support
● Collaborate with Sales, HR, Finance, Operations, and other departments to understand
reporting and data requirements.
● Provide support for ad-hoc analysis, custom reports, and special data requests.
● Act as a data partner to department heads for decision support and performance tracking.
6. Documentation & Compliance
● Maintain complete and updated documentation for MIS processes, reports, data models,
automation logic, and system changes.
● Ensure compliance with company data governance policies and applicable data protection standards.
System Development & Data Structuring Responsibilities
● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.
● Review existing manual and digital data systems to identify operational gaps, risks, and
mprovement opportunities.
● Recommend structured data models, reporting formats, and storage solutions aligned with
business requirements.
● Coordinate with department heads to define data structures, access levels, and reporting
standards.
● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP
integrations) with minimal operational disruption.
● Design structured data formats and role-based access controls to ensure secure and
organized data management.
● Train employees on newly implemented systems and provide post-implementation
support.
● Monitor system performance, resolve issues, and continuously improve systems based on
user feedback and organizational growth.
Qualifications & Experience
● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.
● 3–5 years of experience in data analytics, reporting, or system automation roles.
● Strong analytical thinking, logical reasoning, and problem-solving abilities.
● High attention to detail with excellent organizational and documentation skills.
Technical Skills (Must Have)
● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts
● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)
● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization
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Preferred Skills
● Strong verbal and written communication skills
● Ability to handle sensitive and confidential information responsibly
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You should be comfortable working with existing database systems, troubleshooting complex issues, improving performance and ensuring data integrity, security and availability.
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Qualifications and Skills:
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- Proficiency in Power BI for reporting and data visualization
Desirable Skills:
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- Knowledge of statistical analysis or Data Science
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- Python or R coding skills
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