Senior BI & Analytics Developer

Job Responsibilities

• 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
• Partner on refresh sequencing, dependencies, and data readiness for analytics consumption
• Enable semantic modeling and Power BI enablement by designing and maintaining Power BI semantic models on top of curated Fabric tables, ensuring models follow best practices for: Schema design, Reusability across reports, Clear metric definitions and transparency
• 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

Requirements

• 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