Senior Data Analyst

We are looking for an experienced Senior Data Analyst to support a large-scale data transformation initiative. This role involves working closely with both business and technical teams to analyze legacy data, define data standards, and help deliver high-quality and reliable data across the organization.Key ResponsibilitiesWork with stakeholders to gather and understand data requirements across systems and business functionsConduct detailed data profiling to assess quality and identify issues such as duplicates, inconsistencies, and missing dataAnalyze and document current data flows, transformation logic, and integration processesDefine rules for data standardization, enrichment, and hierarchy structures for consistent use across the enterpriseCreate source-to-target mapping documents including business rules and transformation logicCollaborate with data engineers, analysts, and quality assurance teams to validate and ensure accuracy of integrated datasetsParticipate in Agile activities such as sprint planning, backlog grooming, and user acceptance testing

Requirements

Minimum of 8 years of experience in data analysis within complex enterprise environmentsStrong skills in SQL and experience with data profiling and cleansingHands-on experience in Python for building data profiling scriptsAbility to write source-to-target mappingsSolid understanding of data structures, relationships, and integration across multiple systemsProven ability to document data requirements, business rules, and transformation logicFamiliarity with enterprise data platforms, cloud technologies, or data quality tools is a plusStrong communication and stakeholder engagement skills

Preferred

Knowledge or experience in Master Data ManagementFamiliarity with Property and Casualty Insurance domain