Business Data Analyst with P&C Insurance

Capgemini • New York, NY

18d • $82,786 - $95,383 • Hybrid

About The Position

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.

Requirements

• 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 GCP.
• 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.
• 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 / GCP
• Agile Methodologies

Nice To Haves

• 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.

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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level