Analytical Thinking & Business Insight
- Convert business problems into analytical logic and data models
- Validate metrics against source systems before release
- Identify trends, anomalies, leakage, and operational risks
- Support decision-making with accurate, explainable insights
- Create documentation for KPIs, calculations, and data flows
Power BI Development
- Build high-quality Power BI dashboards and reports with a solid focus on usability and clarity
- Write advanced DAX measures in a highly optimized manner to achieve business requirements
- Design calculations for complex scenarios such as rolling metrics, comparisons, conditional logic, and cumulative values
- Optimize DAX to reduce query execution time and improve report responsiveness
- Manage relationships, filters, and calculation logic to avoid ambiguity or incorrect results
- Implement Row-Level Security (RLS) based on business rules
- Configure dataset refresh, manage gateways, and troubleshoot refresh failures in Power BI Service
Advanced SQL Development
- Write highly optimized, production-grade SQL queries
- Use complex joins, CTEs, sub queries, and window functions effectively
- Create SQL logic for:
- Incremental data loads
- Deduplication and data cleansing
- Historical tracking and change detection
- Aggregations and pre-calculations
- Analyze query execution plans and optimize performance
- Design and maintain:
- SQL views
- Materialized views
- Reporting tables
- Handle large datasets (millions to billions of rows) efficiently
- Perform root-cause analysis for data mismatches and incorrect metrics
Data Architecture & Warehousing Concepts
- Design analytical data structures suitable for reporting and performance
- Decide what logic should live in SQL vs Power BI (DAX) based on scalability and maintainability
- Define fact and dimension-type tables based on business processes
- Design aggregation layers and summary tables where required
- Ensure consistent metric definitions across rep
📌 Power BI Developer (Noida)
🏢 Scaleupally
📍 Noida
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