Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions by connecting the pieces of fragmented health care system and ensuring people get the same level of care and compassion.
Requirements
- 2+ years of SQL and SAS programming experience working with large healthcare datasets.
- Experience with BI tools (e.g., Power BI, Tableau, or similar) and advanced Excel skills.
- Proficiency in creating impactful data visualizations and presenting insights clearly and concisely using PowerPoint.
- Strong analytical skills with a proven ability to extract meaningful insights from both quantitative and qualitative data.
- Familiarity with healthcare claims, reimbursement methodologies, and cost/utilization KPIs, including prior authorization data and key performance indicators (e.g., PMPM, trend drivers).
- Experience with value-based care, utilization management, or regulatory reporting (e.g., HEDIS, NCQA, Milliman).
- SAS, SQL, Excel, and Power BI (or similar BI tools)
Responsibilities
- Analyze healthcare claims and authorization data to identify cost drivers, utilization trends, and population health opportunities using SAS, SQL, Excel, and Power BI (or similar BI tools).
- Enhance and standardize analytical solutions for internal teams and external partners.
- Support ad hoc and regulatory reporting needs efficiently, ensuring compliance with applicable guidelines.
- Present findings in client-facing decks, data-driven narratives, and visualizations that convey insights effectively.
- Partner with internal stateside and global teams to deliver high-quality analyses.
- Transform complex data into actionable insights and compelling narratives for stakeholders.
- Leverage data to uncover meaningful business insights.
Other
- Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Economics, Public Health, or a related discipline).
- 2+ years of analytics & reporting experience in healthcare, including medical economics, cost/utilization analysis, and membership trend reporting.
- Self-motivated problem-solver with the ability to manage multiple projects simultaneously and adapt to shifting priorities.
- Effective collaborator who thrives in cross-functional environments, working seamlessly with diverse teams and stakeholders.
- Master’s degree in a quantitative or analytical field (e.g. Statistics, Public Health, Epidemiology, or Computer Science).
