Posted on: 24/08/2026
Experience Range :
5 - 7 years overall, with at least 4 years of hands-on departmental analytics and reporting activities.
Core Technical Skills :
- Power BI Development : End-to-end dashboard/report creation, KPI tracking, drill-through, and performance optimization.
- DAX (Data Analysis Expressions) : Complex measures, reusable calculations, advanced performance tuning.
- Power Query (M Language) : ETL workflows, cleansing, reusable query logic, automation of data pipelines.
- SQL & Query Optimization : Advanced joins, indexing, stored procedures, query tuning for large datasets.
- Microsoft Fabric : Exposure to Fabric ecosystem for scalable data engineering and analytics.
- Data Modeling & ETL : Star schema, fact/dimension modeling, ETL orchestration, validation.
- Data Governance & Reporting Standards : Compliance, lineage tracking, KPI accuracy, reporting optimization.
Key Responsibilities :
- Collaborate with cross-functional teams to design and deliver scalable BI solutions.
- Translate business requirements into technical specifications for dashboards, reports, and data models.
- Ensure data accuracy, governance, and compliance with organizational standards.
- Optimize SQL queries and BI workflows for performance and scalability.
- Mentor junior team members, fostering knowledge-sharing and best practices.
- Contribute to departmental analytics strategy, ensuring alignment with organizational goals.
Educational Qualifications :
- B.E / B.Tech in Computer Science, Information Technology, or related discipline.
- Advanced certifications in BI/Data Engineering (preferred).
Desired Attributes :
- Strong problem-solving and analytical mindset.
- Ability to work independently and in collaborative team environments.
- Excellent communication skills to interface with stakeholders and translate technical insights into business value.
- Proactive in adopting emerging technologies like Microsoft Fabric and modern governance frameworks.
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Posted in
Data Analytics & BI
Functional Area
Data Mining / Analysis
Job Code
1665655