Skip to main contentdecisions.Drive analytics strategy with Product, Clinical Analytics, Medical Economics, Finance, and Operationsleaders.Apply and champion AI-enabled workflows (for example, AI-assisted analysis and documentation) toimproveteam productivity, insight velocity, and adoption of trusted analytics practices.Define and enforce standards for data quality, governance, documentation, and analytics development.Design executive-ready dashboards and self-serve reporting experiences with clear, decision-orientednarratives.Mentor and coach analysts and engineers, raising the technical bar and strengthening team delivery.Identify high-value opportunities to improve patient outcomes and reduce avoidable medical costthroughhypothesis-driven analysis.Requirements
- 8+ years of experience in analytics engineering, BI, or data-focused analytics roles.
- Strong SQL proficiency and deep experience with cloud data warehouses (Snowflake preferred).
- Strong experience with data modeling and transformation frameworks (dbt preferred).
- Experience building and scaling dashboards in Sigma, Tableau, Power BI, or similar tools.
- Demonstrated ability to lead ambiguous, high-impact work and influence cross-functional stakeholders.
- Strong analytical and problem-solving skills with attention to data quality, reproducibility, and business
- impact.
- Excellent communication skills for technical and non-technical audiences, including executive
- stakeholders.
- Bachelor's degree or equivalent practical experience.
- Preferred Experience
- Healthcare analytics experience, especially in risk adjustment, clinical quality, utilization,
- attribution, or medical economics.
- Familiarity with healthcare data structures and longitudinal/member-level analysis.
- Good to have: Python (or similar language) for automation or advanced analytics.
- Experience in fast-paced, evolving environments with high ownership and accountability.
- What Success Looks Like
- Teams trust and rely on your analytics products for strategic and operational decisions.
- Insights are timely, accurate, and clearly tied to measurable business and clinical outcomes.
- Analytics assets are standardized, reusable, and easier to scale across teams.
- Team capability grows through your mentorship, technical leadership, and operating discipline.
- Location :
- India_Bangalore
Additional Information
Company :
AHIPL Agilon Health India Private Limited
Job Posting Location :
India_Bangalore
Job Title :
Lead Data Insights - Engineer
Job Description :
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