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Analytics Engineer​/Data Analyst

Job in City Of London, Central London, Greater London, England, UK
Listing for: Experis
Part Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

Analytics Engineer/Data Analyst

Hybrid: 2 days per week in the office (London), Permanent

Paying up to 65k + bonus

We are currently working with a leading organisation who are investing heavily in their data and analytics capability.

They are looking to hire a Data Analyst to join a growing team and play a key role in delivering modern, production-grade analytics solutions across the business.

The Role

You will work closely with business and technology teams to:

  • 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

This is a hands‑on role focused on moving beyond ad‑hoc analysis to building robust, repeatable analytics solutions.

Key Responsibilities
  • Partner with stakeholders to understand business problems and define data requirements
  • 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
Key Skills & Experience
  • 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
Why Apply?
  • Join a growing data function within an established organisation
  • Work with modern tools and technologies
  • Opportunity to build data products, not just reports
  • Strong exposure to business stakeholders and real-world impact

If you'd like to learn more, please contact Jacob Ferdinand at

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