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Data Analyst - Data Transition

Tech Contracts Online London, England, United Kingdom · £117K/yr

Business Consulting and Services · 2-10 employees

Sep 04
data-analyst Senior (5-10 yrs) Contractor United Kingdom
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About the role

This role involves analyzing and mapping data between legacy and future-state systems to ensure accuracy and alignment during transitions. You will identify data gaps, risks, and quality issues while collaborating with engineering and architecture teams to support system migration.

What they look for

Data Analysis SQL SAS Data Mapping Gap Analysis Data Migration System Decommissioning Financial Services Insurance Data Engineering Data Architecture Regulatory Compliance Communication

Requirements

Candidates must have a strong background as a Data Analyst in complex environments with advanced SQL skills and experience in SAS decommissioning. A background in financial services, specifically insurance, is preferred along with proven expertise in data mapping and gap analysis.

Full description

This role focuses on analysing and translating data between legacy and future-state systems, rather than reporting or dashboarding. You’ll work at the intersection of business, data, and technology, ensuring data is accurate, aligned, and fit for purpose throughout the transition.

  • Analyse and compare current-state and future-state data.
  • Map data between legacy and target systems.
  • Identify gaps, risks, and data quality issues.
  • Validate future-state data against business and regulatory needs.
  • Work closely with business, data engineering, and architecture teams.
  • Document data mappings, transformations, and findings.
  • Support testing during system migration and decommissioning.

Requirements

  • Strong background as a Data Analyst in complex data environments.
  • Advanced SQL skills (including translating logic from tools such as SAS).
  • Experience with legacy system migration or SAS decommissioning.
  • Proven data mapping and gap analysis experience.
  • Financial services background (insurance preferred).
  • Strong analytical skills and clear communication.

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