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Full time
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Analytics Engineer/Data Analyst

ExperisFarringdon, Central London🇬🇧United KingdomPosted 14 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

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<br />Analyse complex data using SQL and Python<br />Deliver automated reporting and dashboards<br />Support the development of scalable data productsThis 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<br />Manipulate, link and analyse datasets to generate insights<br />Improve data quality and consistency across systems<br />Build automated reporting, dashboards and data pipelines<br />Turn recurring analysis into reusable components and templates<br />Apply validation and quality checks to ensure accuracy Key Skills &amp; Experience Strong SQL and Python experience<br />Experience working with cloud-based data platforms (e.g.

Snowflake, Azure, AWS)<br />Data visualisation experience (e.g. Power BI)<br />Experience building production-ready data outputs<br />Strong stakeholder engagement and communication skills<br />Experience using AI coding tools (Copilot, Claude, etc.) is highly desirable Why Apply?

Join a growing data function within an established organisation<br />Work with modern tools and technologies<br />Opportunity to build data products, not just reports<br />Strong exposure to business stakeholders and real-world impact If you'd like to learn more, please contact Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website

Skills

SQL
AWS
Snowflake
Azure
Power BI
Python

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