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