Business/Data Analyst - Property & Casualty (P&C) Insurance at Cognizant

Job description

Role Overview Cognizant is seeking an experienced Business/Data Analyst with strong Property & Casualty (P&C) Insurance domain expertise to support the development of a next-generation Analytical Data Lakehouse . In this role, you will partner closely with business stakeholders, data architects, data engineers, and reporting teams to translate business reporting and analytical needs into actionable data requirements. You will act as the critical bridge between business users and technical teams, ensuring that data solutions align with current reporting requirements while enabling future analytical capabilities. The ideal candidate will possess a strong combination of business analysis, data analysis, reporting, and insurance domain experience, along with the ability to drive clarity in complex data initiatives. Work Model This position is fully remote within the United States , offering flexibility while collaborating with business and technology teams across multiple locations. Occasional travel may be required for stakeholder meetings, workshops, or strategic planning sessions. Key Responsibilities Business & Data Requirements Analysis • Partner with business stakeholders to gather, analyze, and document data and reporting requirements. • Facilitate workshops, discovery sessions, and stakeholder interviews to understand business objectives and reporting needs. • Translate business requirements into detailed data specifications, business rules, mappings, transformations, and acceptance criteria. • Define and document reporting use cases, KPIs, metrics, dimensions, hierarchies, and business definitions. • Ensure requirements are clearly communicated and understood by technical delivery teams. Data Lakehouse Enablement • Collaborate with data architects and engineering teams to support the design and implementation of an Analytical Data Lakehouse. • Ensure business requirements are accurately reflected within data models, data pipelines, and reporting datasets. • Help define data structures that support both operational reporting and advanced analytics use cases. • Contribute to strategic planning for future data and analytics capabilities. Data Analysis & Validation • Analyze source systems and end-to-end data flows to identify required data elements and reporting requirements. • Support data profiling, mapping, lineage analysis, and validation activities. • Perform SQL-based data analysis and validation to verify business requirements are correctly implemented. • Assist with reconciliation and quality assurance efforts across complex datasets. • Support User Acceptance Testing (UAT) and business validation activities. Stakeholder Management & Collaboration • Work closely with: • Business Stakeholders • Product Owners • Data Architects • Data Engineers • BI & Reporting Teams • Project Managers • Facilitate discussions to resolve requirement gaps, data issues, and business questions. • Build consensus across technical and non-technical stakeholders. • Provide regular updates and ensure alignment throughout the project lifecycle. Governance & Documentation • Maintain traceability between business requirements, data requirements, technical specifications, and reporting outputs. • Create and manage: • Business Requirements Documents • Data Requirements Specifications • Data Mapping Documents • Source-to-Target Mappings • Data Dictionaries • UAT Documentation • Ensure documentation adheres to governance and project standards. Required Qualifications • Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, Finance, Insurance, or a related field, or equivalent work experience. • Strong experience as a: • Business Analyst • Data Analyst • Business Systems Analyst within data, analytics, business intelligence, or data platform initiatives. • Strong Property & Casualty (P&C) Insurance domain knowledge. • Experience gathering, documenting, and managing data and reporting requirements. • Ability to translate business terminology and reporting needs into technical and data requirements. • Strong understanding of: • Data Modeling • Data Mapping • Data Lineage • Data Quality • Reporting & Analytics Concepts • Advanced SQL skills for data analysis, profiling, and validation. • Experience working with: • Business Stakeholders • Data Architects • Data Engineers • Business Intelligence Teams • Excellent communication, facilitation, documentation, and stakeholder management skills. Preferred Qualifications • Experience with modern cloud-based Data Lakehouse platforms, including: • Databricks • Snowflake • Microsoft Azure • Equivalent cloud data platforms • Familiarity with P&C insurance data domains including: • Policy • Claims • Billing • Customer/Party • Producer/Agency • Product • Coverage • Premium • Loss • Experience supporting enterprise analytics modernization initiatives. • Knowledge of dimensional modeling and analytical data structures. • Experience developing source-to-target mappings and business data definitions. • Familiarity with Agile project delivery methodologies. Domain Expertise Candidates should demonstrate knowledge and experience in: • Property & Casualty Insurance • Data Analysis • Business Analysis • Data Warehousing • Data Lakehouse Architectures • Reporting & Analytics • Data Governance • Data Quality Management • Source-to-Target Mapping • Data Lineage • SQL Analysis • Business Intelligence • Enterprise Data Platforms Salary and Other Compensation The annual salary for this position is anticipated to be between $100,000 and $135,000 USD , depending on experience, qualifications, geographic location, and other factors permitted by law. In addition to base salary, this position may be eligible for: • Annual performance-based bonus • Merit-based compensation increases • Employee referral bonuses, where applicable The compensation information provided is accurate as of the date of this posting. Cognizant reserves the right to modify compensation information based on business needs and applicable laws. Benefits Cognizant offers a comprehensive benefits package, including: • Medical, Dental, and Vision Insurance • Health Savings Account (HSA) and Flexible Spending Accounts (FSA) • Life Insurance and AD&D Coverage • Short-Term and Long-Term Disability Insurance • Paid Time Off (PTO) and Company Holidays • 401(k) Plan with Company Contributions (subject to eligibility) • Employee Stock Purchase Plan (where available) • Employee Assistance Program (EAP) • Parental Leave and Family Care Benefits • Tuition Reimbursement and Professional Development Programs • Access to Learning, Certification, and Career Development Opportunities Benefits are subject to eligibility requirements and plan terms. Why Cognizant • Work with leading insurance organizations undergoing data and analytics transformation. • Help build modern Data Lakehouse platforms that drive enterprise decision-making. • Collaborate with skilled data architects, engineers, and business leaders. • Gain exposure to cutting-edge cloud, analytics, and data modernization technologies. • Access ongoing learning, certification, and professional development opportunities. • Join a global organization that values innovation, collaboration, and client success. Equal Opportunity Employer Cognizant is an equal opportunity employer. We are committed to fostering an inclusive workplace where all associates feel valued, respected, and empowered to contribute their unique perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable law. Applications will be accepted until the position is filled. Additional employment information 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. 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. Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Requirements

Must-haves

Cognizant is seeking an experienced Business/Data Analyst with strong Property & Casualty (P&C) Insurance domain expertise to support the development of a next-generation Analytical Data Lakehouse .
The ideal candidate will possess a strong combination of business analysis, data analysis, reporting, and insurance domain experience, along with the ability to drive clarity in complex data initiatives.
This position is fully remote within the United States , offering flexibility while collaborating with business and technology teams across multiple locations.
Occasional travel may be required for stakeholder meetings, workshops, or strategic planning sessions.
Business & Data Requirements Analysis
Partner with business stakeholders to gather, analyze, and document data and reporting requirements.
Facilitate workshops, discovery sessions, and stakeholder interviews to understand business objectives and reporting needs.
Translate business requirements into detailed data specifications, business rules, mappings, transformations, and acceptance criteria.
Define and document reporting use cases, KPIs, metrics, dimensions, hierarchies, and business definitions.
Ensure requirements are clearly communicated and understood by technical delivery teams.
Data Lakehouse Enablement
Collaborate with data architects and engineering teams to support the design and implementation of an Analytical Data Lakehouse.
Ensure business requirements are accurately reflected within data models, data pipelines, and reporting datasets.
Help define data structures that support both operational reporting and advanced analytics use cases.
Contribute to strategic planning for future data and analytics capabilities.

Nice-to-haves

Experience with modern cloud-based Data Lakehouse platforms, including: • Databricks
Microsoft Azure
Equivalent cloud data platforms
Familiarity with P&C insurance data domains including: • Policy
Customer/Party
Producer/Agency
Experience supporting enterprise analytics modernization initiatives.
Knowledge of dimensional modeling and analytical data structures.
Experience developing source-to-target mappings and business data definitions.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlazureagileai

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave

Professional Development