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.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
