Lead - Insurance Analytics

Lead - Insurance Analytics

Location:

Role Type:

Joining Preference:

Role Overview

This position is for a Lead role in the Insurance Analytics domain for one of our clients. The primary responsibility is to support the client's Insurance Analytics team from Gurgaon in executing various Analytics (Data & BI) projects.

Key Responsibilities

• Lead delivery for 10–15 data & visualization analysts. The role involves working closely with clients to understand their strategic priorities, identifying better solutions, estimating effort requirements, managing and building project teams, and ensuring high delivery standards.
• Data Extraction, Cleansing and Manipulation – Handle large volumes of data, research variables, and work with structured/unstructured data.
• Develop and optimize data pipelines and analytical models using SQL and Power BI.
• Process Documentation – Maintain clear, concise documentation of in-line procedures to ensure consistency and support knowledge transfer.
• Participate in various other analytics projects and work on ad-hoc requests relating to data extraction and visualizations as per client needs.
• Predictive Modelling – Develop models using appropriate predictive analytics techniques.
• Mentor and guide team members, fostering a culture of innovation and continuous learning.
• Develop dashboards for tracking and monitoring KPIs.

Additional Expectations

We are also looking for a go-getter who can define:

• Analytic strategies to meet the demands of business requirements
• Technical requirements of analytic solutions
• Data requirements of analytic solution processes

The person will lead the data analyst team for a major insurance client and will serve as the SME/Lead for analytics, working closely with various stakeholders.

Engages in technical problem-solving across multiple technologies; often needs to develop new solutions.

A typical workday will involve collaborating with stakeholders while functioning in a Team Lead capacity.

7–12 years of experience

Experience in insurance is preferred but not mandatory.

Personal Qualifications

• Deep understanding of Analytics
• Strong communicator and team player with client interaction experience
• Experience working in a multi-cultural environment
• Questions existing processes and suggests improvements
• Ability to prioritize and manage multiple projects simultaneously

Required Education and Skills

• Academic background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.)
• Strong IT skills – Hands-on experience in data analysis and data preparation tools like SAS, Python, PySpark, SQL
• Good knowledge of advanced analytics / machine learning / statistical / data mining / text mining techniques in regression or classification
• Good knowledge of Power BI, Teradata, and Snowflake
• Experience in the P&C Insurance industry is preferable