Senior Business Intelligence Analyst, SQL, SAS, Python, Tableau
TD
PythonSQLTableau
Manager, Population Health Analytics
NavVis
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
PythonSQLTableau
About the role
- Identify and quantify opportunities to optimize health outcomes, risk adjustment, clinical care quality, and population health
- Contribute to projections and evaluations of financial impacts of programs and solutions on clinical care delivery, quality, and population health
- Operate in dyad partnership with Manager of Medical Economics Analytics to deliver integrated analytics
- Engage regularly with internal and external stakeholders across clinical, operational, and executive teams
- Serve as trusted advisor translating complex data into actionable insights supporting cost containment and performance improvement
- Lead a small team, provide guidance and support for analysts, create collaborative environment
- Lead complex analyses focused on illness burden, population stratification, clinical quality performance, and risk adjustment
- Create opportunity assessments, driver analyses, dashboards, and other analytic products
- Develop and monitor KPIs for illness burden, clinical quality, and risk adjustment performance
- Develop and implement best practices and standards ensuring data and analysis quality and alignment with enterprise standards
Requirements
- Bachelor’s degree in a relevant field (e.g., public health, epidemiology, nursing, allied health, biostatistics, statistics, data science, health services research, healthcare administration, population health); Master’s degree strongly preferred
- 7+ years in healthcare, clinical and/or population health analytics in a payer, health system, or provider organization
- 1-2 years of people leadership experience required; 3 years strongly preferred
- Proficiency in SQL and statistical programming (SAS, R, Python, etc.) for data extraction, manipulation, and analysis
- Broad and deep expertise with diverse data sources: claims, clinical, notifications, pharmacy, lab, and social determinants of health
- Experience with population health metrics and risk stratification methodologies
- Experience and expertise in value-based care and alternative payment models
- Strong communication and project leadership skills
- Expertise with data visualization tools (Tableau, Power BI)
- Experience with healthcare data platforms, risk scores, quality measurement, and clinical and business rules that segment populations by illness burden, disease states, and other risk factors
