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 Responsibilities
Work with stakeholders to gather and understand data requirements across systems and business functions
Conduct detailed data profiling to assess quality and identify issues such as duplicates, inconsistencies, and missing data
Analyze and document current data flows, transformation logic, and integration processes
Define rules for data standardization, enrichment, and hierarchy structures for consistent use across the enterprise
Create source-to-target mapping documents including business rules and transformation logic
Collaborate with data engineers, analysts, and quality assurance teams to validate and ensure accuracy of integrated datasets
Participate 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 environments
Strong skills in SQL and experience with data profiling and cleansing
Hands-on experience in Python for building data profiling scripts
Ability to write source-to-target mappings
Solid understanding of data structures, relationships, and integration across multiple systems
Proven ability to document data requirements, business rules, and transformation logic
Familiarity with enterprise data platforms, cloud technologies, or data quality tools is a plus
Strong communication and stakeholder engagement skills
Preferred
Knowledge or experience in Master Data Management
Familiarity with Property and Casualty Insurance domain