Manager - EB Analytics

Interested candidates please mail resumes to

The EB Analytics professional will be responsible for analyzing employee benefits program data, developing insights to support client consulting, and enabling data-driven decision-making for both internal stakeholders and clients. This role combines technical analytical skills with business understanding of insurance, employee benefits, and broking operations.

Key Responsibilities :

1. Data Management & Analysis

Collect, clean, and validate data from multiple sources (insurers, TPAs, HR systems, brokers).

Analyze claims experience, premium utilization, and cost trends across Health, Life, Accident, and Wellness programs.

Build dashboards and periodic reports for clients, highlighting key metrics (claims ratio, loss ratio, trend analysis, etc.).

Conduct benchmarking analyses for plan design, cost, and utilization across industries and client segments.

2. Business Insights & Reporting

Develop insights and recommendations to support EB consultants in renewal discussions and strategy formulation.

Present findings in a clear, client-friendly format (Excel, PowerPoint, Power BI / Tableau dashboards).

Support client meetings with analytical summaries, renewal projections, and financial modeling.

3. Forecasting & Financial Modeling

Assist in building pricing models and claims projections to support renewal negotiations.

Work with actuarial teams for rate analysis and risk segmentation.

Model “what-if” scenarios for benefit plan changes or wellness interventions.

4. Process Automation & Efficiency

Identify opportunities to automate data reporting and improve analytics processes.

Work with IT / Data teams to enhance data pipelines, dashboards, and analytics tools.

5. Cross-functional Collaboration

Collaborate with EB Consultants, Account Managers, Actuarial, and Operations teams.

Liaise with insurers, TPAs, and client HR / Finance teams to ensure data accuracy and completeness.

Key Skills & Competencies :

Strong analytical and quantitative skills with attention to detail.

Proficiency in Excel (advanced), Power BI / Tableau, SQL / Python (preferred) .

Understanding of Group Health, Life, and Accident insurance concepts.

Ability to interpret insurance and claims data to derive actionable insights.

Strong communication skills—both written and verbal.

Client service orientation and ability to present complex information clearly.

Educational Qualification :

Bachelor’s degree in Statistics, Mathematics, Economics, Actuarial Science, or related field.

Master’s degree / MBA (preferred).

Certifications in analytics tools (Power BI, SQL, Python) are a plus.

Experience :

4–5 years of experience in Employee Benefits / Health Insurance analytics within an Insurance Broking / TPA

Exposure to claims data analysis, renewal support, or actuarial analytics is highly desirable.

Key Performance Indicators (KPIs) :

Accuracy and timeliness of reports and dashboards.

Quality of insights delivered to clients and consultants.

Efficiency gains from analytics automation.

Contribution to client retention and renewal success rates.