Job Description

Expleo is currently hiring a Data Analyst to support a leading automotive customer based in Warwickshire. This is an exciting opportunity to work at the forefront of software and systems engineering, helping drive data-driven decision-making across complex engineering programmes.

💼 Contract (Annual)

💰 £33.88 per hour (Inside IR35)

The Role

As a Data Analyst specialising in Software & Systems Defects, you will play a critical role in ensuring the accuracy, consistency, and usability of defect data across the organisation.

You will act as the bridge between:

Testing Engineers

Defect Resolution Teams

Release & Delivery FunctionsWorking with tools such as JIRA and Tableau, you'll analyse complex datasets, resolve data/tooling challenges, and produce clear, actionable insights for stakeholders at all levels.

Key Responsibilities

Analyse and manage software and systems defect data to ensure integrity and consistency

Generate transparent weekly reports for Senior Management

Provide data-driven insights to support project planning and delivery

Collaborate with engineering stakeholders to ensure aligned and accurate metrics

Interpret complex datasets and communicate key insights effectively

Monitor defect tickets to identify and correct data quality issues

Drive best practice in defect management, coaching teams on data cleanliness and consistency

Support continuous improvement of data processes and toolingSkills & Experience

Ability to support project planning with data-driven insights.

Ability to create transparent weekly Senior-Management Reporting

Ability to interact with key engineering stakeholders to ensure metrics are aligned and correct

Ability to interpret the data to determine the key messages that should be shared.

Ability to ensure data integrity is maintained, by monitoring tickets for common errors

Ability to coach other users with the best practice on defect tooling, data consistency and cleanliness

Visualisation tool (e.g. Tableau) experience would be beneficial📩 Apply now to be part of an innovative team shaping the future of engineering data analytics