**Position Eligible for Hybrid/Remote Work - Houston Based Applicants preferred
Suvida Healthcare is a neighborhood-centric, multidisciplinary primary care program built to address the physical, behavioral, social, and cultural needs of the underserved Medicare-eligible Hispanic population. Multigenerational in design, Suvidas differentiated approach will enable us to deliver on the quadruple aim, improving health outcomes as well as consumer and employee experience while lowering total cost of care. Suvida will thoughtfully cultivate an empathetic and service-centric environment, positioning us not only as a best-in class health care provider, but also as the provider of choice for our patients, their families, and the community at large.
We are an empowered primary care team creating health equity through an exceptional clinical and consumer experience that improves the quality of life for the people, families, and the neighborhoods we serve.
To improve the quality of life for underserved people and those that care for them in neighborhoods across America.
The Analytics Engineer will be focused on developing tools in collaboration with the Strategy and Population Health teams. The engineers will partner with the IT team to develop and maintain efficient, clean and structured data objects in our data warehouse. The engineers will also be responsible for the development of new dashboards and advanced technical tools. Essential responsibilities consist of but not all inclusive:
Provide analytical insights to support population health management operations in close collaboration with clinical, operations and population health teams.
Develop analytical reports and dashboards that measure clinical quality, provider performance and healthcare utilization.
Support analysts and other technical stakeholders in the utilization of the data warehouse and Power BI platform.
Document and implement business logic to develop data assets in our data warehouse through collaboration with the IT department.
Support technical integration with external data sources, including development of various data pipeline or other ETL processes.
Analyze claims data, EHR and other related databases using advanced analytical tools and techniques.
Perform Quality Assurance and Validation tests of the data
Building tools and reports to ensure the timely delivery and validity of the data.