Business & Data Analyst

Five Sigma•Rocky Hill, CT
•Remote

About The Position

Five Sigma is an AI-native InsurTech company that provides a cloud-based Claims Management Platform to help insurance carriers and organizations streamline operations, automate workflows, and make data-driven decisions. The Business & Data Analyst joins the Global Delivery team and works directly with US-based insurance customers to turn complex business requirements and data into functional solutions within the platform. This hands-on, customer-facing role combines business analysis, data investigation, functional solution design, and validation throughout the implementation lifecycle, from discovery through go-live.

Requirements

  • At least 3 years of experience as a Business Analyst, Business Systems Analyst, or Business & Data Analyst in a SaaS or enterprise technology environment.
  • Experience in US Property & Casualty (P&C) insurance, claims management, or insurance technology.
  • Familiarity with claims workflows, policy administration, and insurance data.
  • Experience with enterprise software implementations, data migration, and system integrations.
  • Ability to translate complex business processes into functional requirements and specifications.
  • Experience working directly with customers and cross-functional technical teams.
  • Strong analytical thinking, problem-solving skills, and attention to detail.
  • Excellent written and verbal communication skills.
  • Ability to work independently in a remote, global environment.

Nice To Haves

  • Experience with APIs, JSON, ETL processes, and data reconciliation.
  • Experience implementing configurable enterprise SaaS platforms.

Responsibilities

  • Lead customer discovery sessions to understand claims operations, workflows, business rules, and challenges.
  • Translate business needs into detailed functional requirements, solution designs, and acceptance criteria.
  • Identify edge cases, business exceptions, and gaps in customer requirements.
  • Map business requirements to platform capabilities and define appropriate configurations.
  • Partner with Delivery Managers and technical implementation teams to evaluate solution approaches.
  • Analyze customer data structures, quality, and business meaning.
  • Own source-to-target data mappings, transformation rules, and reconciliation criteria.
  • Support data migrations, integrations, and reporting requirements.
  • Use SQL to investigate datasets, identify inconsistencies, and validate results.
  • Ensure data accuracy and alignment with customer business processes.
  • Define business test scenarios and expected outcomes.
  • Validate configurations, workflows, calculations, reports, and migrated data.
  • Support UAT and troubleshoot functional and data-related issues.
  • Ensure delivered solutions meet agreed business requirements.
  • Collaborate with customers, Delivery Managers, Product, and Engineering teams.
  • Maintain clear documentation of requirements, mappings, decisions, and acceptance criteria.
  • Communicate complex findings to technical and non-technical stakeholders.
  • Remain actively involved throughout implementation, from discovery through go-live.
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