Ursa HealthRemote
Analytics Engineer
United States
Full Time
5 hours ago
$160,000 - $180,000 USD
Visa Sponsor
Key skills
SQLAIAnalyticsSaaSLeadershipCommunicationCustomer Success
About this role
Role Overview
- 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.
Requirements
- 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.
Tech Stack
- SQL
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities