Engage stakeholders to capture requirements and convert them into BI specifications and data models.
Design star/snowflake models with conformed dimensions and surrogate keys.
Build optimized DAX (time intelligence, iterator patterns, context transition) and reusable calculation logic.
Develop ETL/ELT using Power Query (M), Dataflows, and SQL; implement incremental refresh and partitions.
Choose and justify Import vs. DirectQuery vs. Composite based on latency, volume, and SLA.
Publish and manage content in Power BI Service (Workspaces, Apps, Dataflows, Gateways, Deployment Pipelines).
Implement Row‑Level Security (RLS) / Object‑Level Security (OLS) and workspace governance.
Optimize models and reports (cardinality reduction, aggregations, query folding, Performance Analyzer, DAX Studio).
Create executive and operational dashboards with drill‑through, tooltips, bookmarks, and KPI storytelling.
Partner with data engineering (SQL/Azure/Fabric) on pipelines, Lakehouse/Warehouse, and data quality.
Maintain documentation: data dictionary, lineage, refresh SLAs, and runbooks.
Support production, monitor refreshes/capacity, and drive continuous improvement and user enablement.

3–6+ years building end‑to‑end Power BI solutions (modeling, DAX, visuals, deployment).
Strong SQL (CTEs, window functions, query tuning).
Advanced DAX (CALCULATE, filter context, iterators, time intelligence).
Solid Power Query (M) with understanding of query folding.
Proven experience with RLS/OLS, incremental refresh, DirectQuery/Composite models.
Proficiency with Power BI Service (Workspaces, Apps, Dataflows, Gateways, Deployment Pipelines).
Performance tuning using Performance Analyzer and DAX Studio / VertiPaq Analyzer.
Clear communication and stakeholder management skills.

Power BI Consultant

Key skills