Note: The job is a remote job and is open to candidates in USA. Ursa Health is a growth stage company that specializes in transforming healthcare data into actionable insights. The Analytics Engineer will develop and deliver impactful analytics solutions, bridging the gap between raw data and end-user analysis while collaborating with various teams to ensure client success.
Responsibilities
- Deliver client-specific analytics solutions: Use Ursa Studio to develop, implement, and maintain Synthetic Objects, Data Marts, and measures tailored to client needs that enable rapid insight and drive operational and clinical impact
- Partner with Customer Success: Collaborate with Technical Customer Success Managers and leadership to scope, plan, manage, and support analytics engineering workstreams with clients, including multi-month embedded engagements and ad hoc initiatives
- Consult and train clients: Provide hands-off-keyboard expertise in analytics engineering using Ursa Studio, including technical scoping, advisory consulting, and training on best-practice analytics workflows using Ursa’s platform. Effectively balance being responsive to client requests with building better solutions based on our experience and expertise
- Contribute to Ursa product/cross-client solutions: Build scalable, high-impact data models and analytics components that enhance Ursa's SaaS platform and marketplace, making powerful analytic tools accessible to all clients
- Thoughtfully work with AI-assisted tooling: Leverage AI tools (including internally developed Ursa Compass) and capabilities to accelerate and improve our delivery approach, appropriately apply the domain knowledge and human intelligence to ensure sound output
- Ensure high-quality written and verbal communication: Clearly document solution approaches and final deliverables for both technical and non-technical stakeholders
- Maintain standards and security: Stay current with healthcare data regulations and Ursa’s privacy and security policies, including HIPAA compliance
Skills
- Bachelor's degree
- 4+ years of experience working with healthcare data in analytics, engineering, or consulting roles
- Strong knowledge of healthcare data domains (e.g., claims, EMR, behavioral health) and standards (e.g., ICD, CPT, HL7)
- Proven experience in building and managing reusable analytics models and data products
- Experience working directly with clients in scoping, delivery, and support of technical solutions
- Strong proficiency with SQL and analytics tools/platforms
- Excellent written and verbal communication skills
- Subject matter expertise spanning population health, HCC/risk adjustment, value-based care models, and quality measurement programs including HEDIS, PQA, Stars, MSSP, and MIPS
- Experience in analytics model governance, versioning, and documentation best practices
- Experience working with AI tools in a professional context, with the judgment to apply them appropriately
- Familiarity with Ursa Studio or similar no-code/low-code data platforms
- Experience training or mentoring analysts or engineers
- Prior work with distributed or remote teams
Benefits
- Ursa Health is fully remote.
- Hours are flexible.
- You'll be able – and indeed expected – to turn off Slack for hours at a time in order to get into a flow to solve the most difficult problems.
Company Overview