Precision for Medicine - Senior Power BI Developer
Requirements
• Bachelor’s or master’s degree in data Analytics, Business Intelligence, Information Systems, Computer Science, or related field. • Microsoft Power BI Data Analyst Professional Certificate • 5+ years of experience designing and developing enterprise Power BI solutions. • Strong expertise in: • Power BI Service • Semantic Modeling • Power Query (M) • Data Visualization Best Practices • Experience within CRO, clinical research, biorepository, laboratory services, or life sciences environments. • Experience supporting: • Knowledge of ERP, CTMS, LIMS, CRM, and operational workflow systems. • Experience building executive-level KPI dashboards. • Familiarity with Microsoft Fabric, Azure Data Services, and enterprise data warehouse architectures. • Key Competencies • Key Competencies • Strong analytical judgment and attention to detail • Comfortable working in ambiguous, fast-moving environments • Ability to translate business questions into scalable analytical solutions • Collaborative mindset with both technical and non-technical stakeholders • Excellent communication and stakeholder engagement abilities • Ability to manage multiple dashboards and competing deadlines • Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Responsibilities
• Business Partnership & Requirements Gathering • Translate complex business processes into scalable analytical models and self-service reporting solutions. • Act as the subject matter expert for KPI definitions, business rules, calculations, and reporting governance. • Identify trends, risks, bottlenecks, and process improvement opportunities through advanced analytics. • Power BI & Semantic Modeling • Design, build, and maintain Power BI semantic models, including DAX measures, KPIs, hierarchies, and table relationships • Build reusable, governed DAX measures aligned to approved KPI definitions • Implement calculation groups, time intelligence, and standardized metric logic • Optimize data models for performance, scalability, and refresh efficiency • Ensure all metrics reflect correct business logic, including enrollment rules, milestone definitions, revenue calculations, and project financial structures • Governance & Collaboration • Partner with Data Engineering to ensure analytics-ready data structures and consistent grain, validate dataset readiness, and report on data discrepancies • Align with Corporate IT / Data Warehouse teams on data contracts and refresh schedules • Validate metrics with Finance, Clinical Operations, and Business Operations stakeholders • Document datasets, measures, and assumptions for transparency and reuse • Implement and maintain row-level security (RLS), workspace permissions, and dataset access controls • Manage versioning, QA testing, and deployment of dashboards across environments • Ensure alignment with internal data governance and compliance standards • Enablement & Scale • Enablement & Scale • Develop certified datasets to enable self-service analytics across the organization • Reduce ad hoc reporting by standardizing core analytics views • Contribute to analytics standards and best practices across the business • Provide training, documentation, and support to functional teams using Power BI dashboards • Promote BI best practices across teams and encourage responsible data consumption
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