• Partner with business stakeholders to translate domain knowledge into structured analytical and semantic representations. • Design, develop, and maintain enterprise semantic models. • Collaborate with data engineers to shape silver and gold datasets. • Build AI-ready data products by enriching datasets with business definitions and hierarchies. • Develop and optimize Power BI semantic models. • Create and manage standardized KPIs and calculations using DAX. • Document business logic, data definitions, and metric context. • Implement data governance controls. • Publish trusted semantic models and datasets. • Monitor and optimize model performance.

• 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.

• Develop and maintain ETL processes using Informatica PowerCenter and related components. • Create, maintain, and optimize stored procedures, functions, inline SQL, and other database-driven processes. • Monitor, support, and troubleshoot applications utilizing technologies such as Informatica and Greenplum. • Work during production maintenance windows and participate in on‑call support as needed. • Participate independently in all phases of the Agile Software Development Life Cycle.

• Prepare technical architecture and design documents; • Develop data modeling; • Manage the Databricks environment; • Manage AWS, Azure and GCP cloud components; • Develop solutions using (Java / Python / Spark / Scala); • Configure network components in hybrid environments; • Define best practices for relational and non-relational data storage; • Implement improvements in Data Lake and Data Warehouse environments; • Implement and manage SQL and NoSQL databases; • Define and develop DevOps, Docker and Kubernetes solutions; • Discuss and define the best solutions for system integrations; • Support the creation of data governance processes; • Advise on the best solutions to support the company's self-service BI strategy.