Ursa Health

Solutions Engineer

• Lead the integration of complex healthcare data packages including medical claims, pharmacy claims, revenue cycle billing, ADT, clinical/EMR, FHIR and value-based care financial datasets into custom or Ursa Studio standard data models through collaboration with client and Ursa Health teams.
• Design and operationalize rigorous validation checks that preserve data integrity, prevent analytics degradation, and maintain client trust.
• Communicate with clients to understand their data, its limitations, and intended analytical use cases to support them in interpreting the findings that drive their businesses.
• Effectively communicate with internal and client teams to gather and understand the information necessary to successfully complete projects, documenting both the process and final deliverables so a non-technical stakeholder can understand the interpretation and business rules.
• Collaborate with analytics engineers, customer success, and product teams to align delivery with client expectations and to surface product opportunities informed by client needs and data behavior.
• Support client teams to advance their implementation initiatives, including training, measure building, and report interpretation.
• Thoughtfully leverage AI-assisted tooling to accelerate and improve delivery, applying domain knowledge and human judgment to ensure sound output.
• Keep your knowledge current regarding data security and privacy procedures and policies.
• Comply with HIPAA procedures and collaborate with the Incident Response Team as directed.

Data Integration Engineer

Analytics Engineer

• 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.