Serve as a technical bridge between analytics needs and warehouse implementation decisions, working closely with the Data Warehousing team to design and implement data models in Microsoft Fabric
Contribute directly to data model development (SQL / Python), building and maintaining Fabric notebooks for transformations, enrichment, and business logic
Validate data outputs, logic correctness, and alignment with business rules before models are surfaced for reporting
Design and maintain Power BI semantic models on top of curated Fabric tables, ensuring models follow best practices for schema design, reusability across reports, and clear metric definitions
Support the shift from reporting to insights, enabling enhanced and efficient self-service capabilities to end users
Act as an analytics partner to stakeholders submitting reporting and data requests, translating business questions into actionable information
Facilitate working sessions between stakeholders and technical teams to align on definitions, assumptions, and outputs
Follow and contribute to established modeling patterns, naming conventions, and governance standards
Use Git for version control, peer review, and controlled changes
Help test, validate, and document changes before they are released to production
Support continuous improvement of analytics processes, handoffs, and communication between teams

3–5+ years experience in analytics, BI, data engineering, or a related field
Strong hands on experience with: Microsoft Fabric (Lakehouse/Warehouse, notebooks, pipelines) Power BI (semantic models, datasets, basic DAX) SQL (advanced querying, transformations, performance considerations) Python for data transformation (ideally PySpark)
Solid understanding of: Dimensional modeling Fact vs dimension design Slowly changing dimensions Governance-friendly model design

Senior BI & Analytics Developer

Key skills