Build and maintain high-quality, scalable data models and semantic layers for analytics use cases.
Deliver end-to-end insight work: problem framing, analysis, visualization, and communication.
Partner with Product, Clinical Analytics, Medical Economics, Finance, and Operations on key priorities.
Apply and champion AI-enabled workflows (for example, AI-assisted analysis and documentation) to
improve team productivity, insight velocity, and adoption of trusted analytics practices.
Design intuitive dashboards and self-serve reporting experiences for business and clinical
stakeholders.
Improve data quality, documentation, and analytics standards across core reporting assets.
Use hypothesis-driven analysis to identify opportunities to improve patient outcomes and reduce
avoidable cost.
Contribute to team best practices and support peers through collaboration and knowledge sharing.
Requirements
5+ years of experience in analytics engineering, BI, or data-focused analytics roles.
Strong SQL proficiency; experience with cloud data warehouses (Snowflake preferred).
Experience with data modeling and transformation frameworks (dbt preferred).
Experience building dashboards in Sigma, Tableau, Power BI, or similar tools.
Strong analytical and problem-solving skills with attention to data quality and business context.
Ability to translate ambiguous business questions into clear analytical plans.
Strong written and verbal communication skills for technical and non-technical audiences.
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.
Comfort operating in a fast-paced, evolving environment with a high degree of ownership.
What Success Looks Like
Stakeholders trust and actively use your insights to make better decisions.
Analytics outputs are timely, accurate, and linked to measurable outcomes.
Data assets are documented, reusable, and easier for teams to build upon.
Cross-functional partners see you as a reliable thought partner for high-impact decisions.
Location :
India_Bangalore
Benefits
Health insurance
Additional Information
Company :
AHIPL Agilon Health India Private Limited
Job Posting Location :
India_Bangalore
Job Title :
Senior Data Insights - Engineer
Job Description :
Agilonhealth · India_bangalore