Business Analyst

EXL•United States,

60d•$100,000 - $110,000•Remote

About The Position

The ideal candidate will be a Business Analyst with 7+ years of total experience, including 2–3 years of core insurance domain experience across policy, claims, and underwriting systems. The role requires strong ability to elicit, analyze, and document business requirements, translate them into functional specifications, support data/interface mapping, and work closely with business, technology, QA, and data engineering teams to enable successful delivery of insurance data and technology initiatives.

Requirements

7+ years of total experience
2–3 years of core insurance domain experience across policy, claims, and underwriting systems
Strong ability to elicit, analyze, and document business requirements
Ability to translate business requirements into functional specifications
Ability to support data/interface mapping
Ability to work closely with business, technology, QA, and data engineering teams
Experience with SQL for data analysis, validating source-to-target mappings, investigating data issues, and supporting reconciliation
Understanding of data confidentiality, access controls, and data integrity principles relevant to insurance data
Experience working in Agile delivery models

Nice To Haves

Exposure to billing, rating, or distribution systems will be an added advantage.

Responsibilities

Collaborate with business stakeholders, product owners, SMEs, data engineers, QA teams, and technology partners to gather, analyze, validate, and document business and functional requirements.
Translate business needs into clear BRDs, FRDs, user stories, acceptance criteria, process flows, data mapping documents, and functional specifications.
Analyze current-state business processes, system interactions, data flows, and operational pain points across insurance functions to identify gaps, dependencies, and improvement opportunities.
Support solution definition by structuring business problems, clarifying objectives, documenting assumptions, and aligning proposed solutions with stakeholder expectations.
Identify and manage requirement gaps, dependencies, risks, and open questions; facilitate walkthroughs, requirement sign-offs, and backlog refinement sessions with business and delivery teams.
Use SQL to perform data analysis, validate source-to-target mappings, investigate data issues, support reconciliation, and assist data engineering teams in understanding business rules and transformation logic.
Demonstrate understanding of data confidentiality, access controls, and data integrity principles relevant to insurance data, including policyholder, claim, underwriting, and financial information.
Prepare and maintain source-to-target mappings, interface specifications, data dictionaries, business glossaries, and field-level mapping documentation for insurance data assets.
Work on technology-enabled transformation, migration, modernization, or analytics initiatives involving insurance data, reporting, or operational systems.
Participate in system testing, SIT, UAT, defect triage, release validation, and post-implementation reviews to ensure business requirements and quality expectations are met.
Work in Agile delivery models, supporting sprint planning, backlog grooming, daily stand-ups, demos, retrospectives, and change request discussions.
Assist in end-to-end project delivery across discovery, requirements, design, build, testing, deployment, and hypercare phases.
Support day-to-day project operations as a functional and domain SME, ensuring deliverables are clear, traceable, and aligned with client expectations.