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Business Data Analyst with P&C Insurance

Capgemini America, Inc.NY🇺🇸United StatesPosted 12 Aug 2026

Quick Overview

Salary
$82.8k - $95.4k/yr
Work Type
On Site
Level
Mid Senior

Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location : Jersey City, NJ (Onsite/Hybrid from Day 1)

Job Description

We are seeking an experienced Business Analyst with a strong background in Data Engineering and Data Warehousing projects and proven expertise within the Property & Casualty (P&C) Insurance domain. The ideal candidate will act as a bridge between business stakeholders, data engineering teams, architects, and IT organizations to ensure data-driven solutions align with business objectives and deliver measurable value.

This role requires a highly hands-on Data Business Analyst who is comfortable working with complex datasets, performing data profiling, analyzing source systems, creating pseudo code, defining transformation logic, and supporting end-to-end data initiatives. The candidate must possess a strong understanding of insurance data, data warehousing concepts, ETL/ELT processes, and modern cloud-based data platforms.

Key Responsibilities:

  • Collaborate with business stakeholders to gather, analyze, and document business and data requirements.
  • Translate business requirements into functional and technical specifications for data engineering teams.
  • Define business rules, KPIs, success criteria, and data use cases.
  • Perform hands-on data profiling, data analysis, and data discovery to identify data quality issues, patterns, relationships, and business rules.
  • Create and document pseudo code, transformation logic, source-to-target mappings, and data processing rules.
  • Analyze and document data flows, data lineage, transformation logic, and integration requirements.
  • Work closely with Data Engineers, Architects, and Developers on data integration, ETL/ELT, data pipeline, and data warehousing initiatives.
  • Facilitate requirements workshops, stakeholder meetings, and solution review sessions.
  • Act as the primary liaison between business users, data teams, and IT stakeholders.
  • Define and validate test scenarios, test cases, acceptance criteria, and reconciliation requirements.
  • Participate in UAT, data validation, defect triage, and issue resolution activities.
  • Support data governance, data quality, security, compliance, and regulatory initiatives.
  • Work closely with P&C Insurance business teams to support initiatives related to underwriting, claims, policy administration, billing, analytics, and reporting.

Required Skills & Experience:

  • 8+ years of experience as a Business Systems Analyst or Business Analyst, with significant experience supporting Data Engineering or Data Warehousing projects.
  • Mandatory experience in the Property & Casualty (P&C) Insurance industry.
  • Proven hands-on experience performing Data profiling, Data Analysis, Data mapping, Data Validation, Data Reconciliation, creation of pseudo code & Transformation Logic.
  • Strong understanding of P&C Insurance business processes, including Policy Administration, Underwriting, Claims, Billing, and Insurance Data Management.
  • Strong understanding of Business Analysis methodologies, requirements management, and stakeholder engagement.
  • Solid understanding of data modeling concepts, including Star Schema and Snowflake Schema.
  • Experience working with data warehouses and data lake technologies such as Snowflake, Amazon Redshift, BigQuery, or similar platforms.
  • Exposure to cloud platforms including Azure, AWS, or Google Cloud Platform.
  • Experience with ETL/ELT tools such as Informatica, Talend, Azure Data Factory, AWS Glue, or similar technologies.
  • Familiarity with reporting and visualization tools such as Power BI, Tableau, and Excel.
  • Experience using JIRA, Azure DevOps, Visio, Lucidchart, or similar tools.

Must have Skills

  • P&C Insurance Domain Expertise
  • Data Engineering / Data Warehousing Projects
  • Advanced SQL
  • Data Profiling & Data Analysis
  • Data Mapping & Data Lineage
  • Pseudo Code Creation
  • ETL/ELT Processes
  • Source-to-Target Mapping
  • Business Requirements Gathering
  • Data Validation & Reconciliation
  • Snowflake / Redshift / BigQuery
  • Azure / AWS / Google Cloud Platform
  • Agile Methodologies

Preferred Qualifications:

  • Experience working in Agile/Scrum environments.
  • Understanding of API integrations, web services, and data exchange mechanisms.
  • Exposure to Big Data technologies such as Spark and Hadoop.
  • Knowledge of data governance, data privacy, and regulatory compliance frameworks.
  • Experience supporting P&C Insurance Data Modernization, Data Governance, Data Warehousing, or Analytics initiatives.
  • Knowledge of insurance data models and regulatory reporting requirements.
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field.
  • Relevant certifications in Business Analysis, Agile, Cloud, Data Management, or Insurance are a plus.

The base compensation range for this role in the posted location is: 82786- 95383

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. ;br>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Skills

SQL
AWS
ETL
Scrum
Snowflake
Tableau
Agile
Azure
BigQuery
Data Pipeline
Generative AI
Google Cloud
Hadoop
Jira
Power BI
Redshift

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