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Data Management Specialist

Job in 242221, Gurugram, Uttar Pradesh, India
Listing for: ReNew
Full Time position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, Business Systems/ Tech Analyst
Job Description & How to Apply Below
About the Role (Summary)
We are looking for a Power BI professional with 2–4 years of hands-on experience in building robust BI solutions—transforming raw data into actionable insights. The ideal candidate has strong DAX, data modeling, and visualization skills, and is comfortable partnering with business stakeholders to define KPIs, automate reporting, and drive data‑driven decisions.

Key Responsibilitie
s
• Engage with stakeholders to gather reporting requirements, define KPIs/metrics, and translate business needs into analytical outputs
.
• Build interactive Power BI reports and dashboards with strong UX and performance
.
• Perform DAX calculations, including date intelligence, time-series, and variance analysis
.
• Create and maintain semantic models (star schema, relationships, hierarchies)
.
• Profile and clean data; ensure data quality, consistency, and governance
.
• Publish, manage, and secure content in Power BI Service (work spaces, apps, RLS/OLS)
.
• Monitor usage, optimize performance, and iterate based on user feedback
.
• Document datasets, measures, and dashboard logic; provide user training and adoption support
.
• Design and implement ETL/ELT pipelines using Power Query (M) and/or SQL; integrate data from multiple sources
.
• Develop scalable data models aligned with BI best practices and performance optimization
.
• Author advanced DAX measures; implement Row-Level Security (RLS) and Object-Level Security (OLS)
.
• Manage Power BI Service governance, including deployment pipelines, dataflows, refresh schedules, and gateway management
.
• Optimize report performance (query folding, storage modes, aggregations, incremental refresh)
.
• Collaborate with Data Engineering teams on data lake/warehouse models (Azure SQL, Synapse, Databricks, etc.)

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