Insurance Data Solutions Lead - Senior Business Analyst

EXL; Chicago (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

EXL in Chicago is seeking a Senior Business Analyst to drive Enterprise Data Management implementations for client projects. The role requires insurance domain knowledge and experience translating architecture into configured data solutions.

You will analyze large data sets with SQL, create documentation, and lead discovery with business and IT teams. The candidate will collaborate with client teams to ensure project success, support roadmap development, and uphold data quality across data

Qualifications

• 7+ years in an Analyst role in data management.
• 5+ years of the Health and Benefits sector.
• 3+ years leading offshore teams.
• 2+ years Insurance industry experience.
• Experience in Data Integration/Movement, Data Quality, Master Data Management, Data Governance, or Data Modeling.
• Strong verbal and written communication, translating complex concepts.

Responsibilities

• Gather and document current and future business processes, technical specifications, and use cases.
• Identify data management process improvements and roadblocks.
• Perform gap analyses against target frameworks and assist with roadmaps.
• Develop data dictionaries, mappings, and glossaries with SMEs.
• Define business rules for data acquisition, integration, and quality monitoring.
• Gather requirements for reports, analyses, and data access needs.
• Assess source data structure, quality, and conformance.
• Investigate data integrity issues and coordinate resolution.
• Identify data trends and recommend improvements.
• Communicate status, risks, issues, and decisions to stakeholders.
• Coordinate with Project Managers and assist planning.
• Lead discovery sessions with business SMEs and technical leads.

Job description

EXL in Chicago is seeking a Senior Business Analyst to drive Enterprise Data Management implementations for client projects. The role requires insurance domain knowledge and experience translating architecture into configured data solutions.

You will analyze large data sets with SQL, create documentation, and lead discovery with business and IT teams. The candidate will collaborate with client teams to ensure project success, support roadmap development, and uphold data quality across data