Must Have Technical/Functional Skills
Visualization Engineer / Power BI Developer for translating predictive model outputs and curated datasets into intuitive, governed, and self‑service Power BI experiences for business and executive stakeholders.
Roles & Responsibilities
• Design and develop Power BI dashboards and reports for utilization analysis, predictions, and variance explanations
• Build executive level visualizations that clearly communicate:
• Expected vs actual utilization
• Drivers of deviation (attribution insights)
• Trends across member demographics, geography, plan design, and time
• Work with Data Scientists to consume model outputs and present them in a business friendly and interpretable manner
• Develop and maintain Power BI Semantic Models aligned to agreed business definitions and KPIs
• Implement DAX measures, calculations, and hierarchies to support advanced analytical views
• Ensure data consistency between dashboards, underlying datasets, and AI driven interactions (Copilot / Data Agents where enabled)
• Apply best practices for usability, performance optimization, and visual storytelling
• Support self service analytics enablement for non technical business users
Required Skills & Experience
Power BI & Visualization
• Strong hands on experience with Power BI (reporting, dashboards, DAX, semantic modeling)
• Proven ability to design executive ready, insight driven dashboards (not just operational reports)
• Experience implementing row level security (RLS) and governed access models (preferred)
Data & Platform
• Experience working with cloud data platforms (Microsoft Fabric preferred; Azure Synapse / Databricks acceptable)
• Ability to work with curated analytical datasets sourced from SQL based data warehouses
• Comfortable collaborating with Data Engineering and Data Science teams
Domain & Business Understanding
• Experience supporting insurance, healthcare, or benefits analytics use cases (claims, utilization, member analytics preferred)
• Strong ability to translate business questions into visual analytics
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