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Senior Data Insights - Engineer @ Agilonhealth

India_BangaloreOnsiteFull-time
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About this role

Company: AHIPL Agilon Health India Private Limited Job Posting Location: India_Bangalore Job Title: ​ Senior Data Insights - Engineer Job Description: ​ What You'll Do • 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.

Qualifications • 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

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