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Data Analyst

Job in London, Greater London, W1B, England, UK
Listing for: Forsyth Barnes
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Data Warehousing
Job Description & How to Apply Below
Position: Data Analyst (Ref: 188228)

Direct message the job poster from Forsyth Barnes

I partner with the fastest-growing Fin Tech organisations, connecting them with top Data & AI talent within the UK & US market.

Permanent Job Alert:

Title:
Data Analyst

Location:
London, Hybrid

Brief Overview:

Our client, a fast-growing company in the financial services sector, is seeking a Data Analyst to support its continued expansion. The ideal candidate will bring a strong understanding of the insurance industry, along with hands-on experience in delivering end-to-end data solutions-such as building data lakes, developing ETL processes, and deploying data visualization tools.

Working closely with global teams and reporting to the Group Data Lead, the Data Analyst will play a key role in shaping and executing the company's data strategy, enabling more efficient and effective client service.

JOB Responsibilities:

  • Perform statistical analysis and data modeling
  • Clean, analyse, and interpret data from multiple sources
  • Communicate insights to both technical and non-technical audiences
  • Ensure data quality through governance and regular checks
  • Design and implement data pipelines, ETL processes, and dashboards
  • Apply knowledge of analytics, AI, and cloud technologies
  • Work with varied data products and data lake architectures
  • Coordinate projects with internal teams and external vendors
  • Communicate complex ideas clearly and simply
  • Promote Agile and Lean practices across teams

JOB Requirements:

  • Deep knowledge of PowerBI
  • Deep knowledge of SQL
  • Good knowledge of Power Automate
  • Good knowledge of Paginated Reports
  • Familiarity with Microsoft Fabric
  • Familiarity with Insurance Industry
Seniority level
  • Seniority level

    Mid-Senior level
Employment type
  • Employment type

    Full-time
Job function
  • Job function

    Information Technology
  • Industries Insurance

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