Lead Data Analyst - Insurance domain

Role: Senior Data Analyst – Insurance Domain

About Cognizant

Cognizant is one of the world’s leading professional services companies, transforming clients’ business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses.

Role Overview

We are seeking an experienced Senior Data Analyst with strong expertise in the Insurance domain to support data-driven initiatives across complex, enterprise-scale environments. In this role, you will work closely with business and technical stakeholders to analyze, curate, and deliver high-quality data solutions that enable informed decision-making.

You will contribute to data integration, data warehousing, and analytics initiatives, leveraging modern cloud platforms and best practices in data management.

Responsibilities

• Analyze, validate, and interpret complex datasets to support business and technology decisions.
• Partner with business stakeholders to gather and understand end-to-end data requirements, from ingestion through curation.
• Perform hands-on data profiling and write SQL queries to analyze and validate data.
• Support master data management, data integration, and data warehousing or data lake initiatives.
• Provide inputs and recommendations to data modelers based on business and analytical requirements.
• Develop and maintain high-quality data documentation artifacts within project timelines.
• Collaborate effectively with cross-functional teams, communicating clearly with both technical and non-technical stakeholders.
• Contribute to analytics solutions in large-scale, data-centric environments, including Big Data platforms.

Required Qualifications

• 7+ years of experience as a Data Analyst in enterprise environments.
• Strong knowledge of the Insurance domain, including underwriting concepts.
• Experience working with Global IQX and integrating with third-party platforms such as Salesforce.
• 3+ years of experience with cloud-based data platforms (e.g., Azure, AWS, or similar).
• Hands-on experience with SQL for data analysis, validation, and issue resolution.
• Solid understanding of data warehousing concepts, dimensional data models, and analytics-ready data structures.
• Experience delivering data documentation in organizations of similar size and complexity.
• Excellent verbal and written communication skills, with the ability to engage stakeholders at multiple levels.

Preferred Qualifications

• Experience working on large-scale data programs in regulated industries.
• Exposure to Big Data environments supporting advanced analytics use cases.
• Prior experience with data governance or data quality initiatives.

Why Cognizant

• Opportunity to work on complex, high-impact data initiatives.
• Collaborative, diverse, and inclusive work culture.
• Continuous learning and career development opportunities.
• Exposure to leading-edge technologies and global clients.

Equal Opportunity Statement

Cognizant is an equal opportunity employer. We are committed to diversity, equity, and inclusion at all levels. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by applicable law.

Salary and Other Compensation (Canada – Ontario)

Applications will be accepted until May 31^st, 2026.
The annual salary for this position is expected to range from CAD $[95,000] – $[115,000], depending on experience, skills, and other qualifications.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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Benefits (Canada)

Cognizant offers a comprehensive benefits program for eligible employees, which may include:

• Medical, dental, vision, and life insurance
• Paid holidays and Paid Time Off (PTO)
• Short‑term and long‑term disability coverage
• Paid parental leave
• Employee Stock Purchase Plan
• Access to well‑being programs, learning resources, and career development opportunities

Benefits are provided in accordance with applicable plan documents and eligibility criteria.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer: 
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.