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Analytics Engineer​/Data Analyst

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Experis
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 50000 - 65000 GBP Yearly GBP 50000.00 65000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Salary: £50,000 - 65,000 per year

Requirements
  • Strong SQL and Python experience
  • Experience working with cloud-based data platforms (e.g. Snowflake, Azure, AWS)
  • Data visualisation experience (e.g. Power BI)
  • Experience building production-ready data outputs
  • Strong stakeholder engagement and communication skills
  • Experience using AI coding tools (Copilot, Claude, etc.) is highly desirable
Responsibilities
  • Work closely with business and technology teams to understand business problems and define data requirements
  • Build and maintain high-quality, reusable datasets
  • Analyse complex data using SQL and Python
  • Deliver automated reporting and dashboards
  • Support the development of scalable data products
  • Manipulate, link and analyse datasets to generate insights
  • Improve data quality and consistency across systems
  • Build automated reporting, dashboards and data pipelines
  • Turn recurring analysis into reusable components and templates
  • Apply validation and quality checks to ensure accuracy
Technologies
  • AI
  • AWS
  • Azure
  • Cloud
  • Copilot
  • Support
  • Power BI
  • Python
  • SQL
  • Snowflake
More

We are a leading organisation investing heavily in our data and analytics capability. We are building a growing team focused on delivering modern, production-grade analytics solutions across the business. This is a hybrid role based in London, with two days per week in the office, on a permanent basis, and offers a salary of up to £65k plus bonus. You will join a growing data function within an established organisation, work with modern tools and technologies, build data products rather than just reports, and have strong exposure to business stakeholders and real-world impact.

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