Senior Analytics Engineer, Care Continuity

• 5–8+ years of experience in analytics engineering, BI development, or data modeling
• Deep expertise in Power BI (or similar BI tool), including dataset modeling, DAX, and performance optimization
• Strong SQL and experience working with Databricks, Azure SQL, or equivalent cloud data platforms
• Familiarity with dbt, Delta Live Tables, or similar transformation frameworks
• Familiarity with Python for data transformations or automation
• Strong understanding of semantic layer design, data governance, and metadata management
• Experience collaborating across product, analytics, and engineering teams in a fast-moving environment
• Excellent communication and documentation skills - able to translate between technical and business audiences

Desirable

• As a Senior Analytics Engineer, you'll build and maintain the data foundation that powers our analytics and reporting ecosystem
• You'll design robust data models, own the semantic layer that connects raw data to business insight, and ensure that metrics, relationships, and logic are consistent, reliable, and scalable across the company
• You'll work closely with product, analytics, and data engineering teams to translate business requirements into performant, governed data assets - enabling trusted insights and faster decision-making
• This is a hands-on, high-impact role for someone who thrives at the intersection of technical depth, data modeling strategy, and business context
• Design and maintain data models and transformation logic that power analytics, dashboards, and reporting
• Own the semantic layer, defining and managing shared datasets, measures, and relationships across products and functions
• Partner with data engineers to ensure reliability, scalability, and performance of upstream pipelines
• Collaborate with analysts, data scientists, and product managers to translate complex requirements into reusable, efficient data structures
• Establish data modeling and transformation standards (naming conventions, testing, version control, CI/CD)
• Create and maintain clear documentation of metrics, data definitions, and lineage
• Monitor and tune Power BI and underlying datasets for performance optimization
• Contribute to overall data governance and quality initiatives, ensuring consistency across teams and systems
• Mentor analysts and cross-functional partners in best practices for modeling, DAX, and data usage