Data Analyst (Ref: 188228)

Forsyth Barnes
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£40,000.0 - £45,000.0
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Cloud Computing Extract Transform Load (ETL) Data Systems Data Visualization Power BI Standard Sql Microsoft Power Automate Data Strategy Microsoft Fabric
+2 more
Data Lakes Data Pipelines

Job description

Direct message the job poster from Forsyth Barnes

I partner with the fastest-growing FinTech 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 levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesInsurance

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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

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