Senior Data Insights - Engineer

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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