Data Analyst

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 Functions Working 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 tooling Skills & 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.