Manager - EB Analytics

Edme Insurance Brokers; Delhi; Sur place; INR 800 000 - 1 200 000; Plein temps

Résumé du poste

Edme Insurance Brokers is seeking an EB Analytics professional to analyze employee benefits program data and develop client-ready insights. The role combines statistical analysis with business understanding of health, life, and accident insurance, policies, and broking operations.

You will build dashboards, support renewal discussions, and collaborate with actuarial teams to improve pricing and claims projections. Strong Excel, Power BI/Tableau skills are essential.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Actuarial Science, or related field.
• Certifications in analytics tools (Power BI, SQL, Python) are a plus.

Responsabilités

• Data Management & Analysis: Collect, clean, and validate data from multiple sources. Build dashboards and reports highlighting key metrics.
• Business Insights & Reporting: Develop insights to support renewal discussions and strategy; present findings via Excel/Power BI/Tableau.
• Process Automation & Efficiency: Identify opportunities to automate data reporting and improve analytics processes; collaborate with IT/Data teams.

Connaissances

Analytical thinking

Attention to detail

Client service orientation

Communication

Formation

Bachelor’s degree in Statistics/Math/Economics/Actuarial

Outils

Excel (advanced)

Power BI

Tableau

SQL

Python

Description du poste

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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.
• 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.
• 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.
• 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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting and Analyst

Industries

• Insurance and Insurance Agencies and Brokerages