

Nixor
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position for a 12-month contract at £30 per hour, hybrid in Gaydon. Key skills include data analytics, reporting, and experience with JIRA and Tableau. Automotive industry experience is beneficial.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
240
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🗓️ - Date
May 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Gaydon, England, United Kingdom
-
🧠 - Skills detailed
#Jira #Datasets #Data Quality #Data Accuracy #Data Analysis #"ETL (Extract #Transform #Load)" #Tableau #Data Visualisation
Role description
Data Analytics Engineer – Software & Systems Defects
Leading Automotive Manufacturer
Location: Hybrid/Gaydon
12 month Contract
Rate: £30 per hr
A leading automotive manufacturer is seeking a Data Analytics Engineer to support software and systems quality activities across complex engineering programmes. This role will focus on ensuring the integrity, consistency, and usability of software and systems defect data, helping teams make informed decisions and improve product quality across the development lifecycle.
You will act as a key link between testing teams, defect resolution engineers, and release teams, transforming complex datasets into meaningful insights and supporting business-critical reporting.
Key Responsibilities
• Analyse software and systems defect data to identify trends, risks, and key performance indicators.
• Ensure the quality, integrity, and consistency of defect data across engineering programmes.
• Support project planning and delivery activities through data-driven insights and recommendations.
• Produce transparent and high-quality weekly reporting for senior management stakeholders.
• Work closely with engineering teams to validate metrics and ensure reporting accuracy.
• Interpret data and communicate key findings and business messages clearly to stakeholders.
• Monitor defect tickets and identify common errors, inconsistencies, and tooling issues.
• Support continuous improvement initiatives relating to defect management processes and data quality.
• Coach and guide users on defect management best practices, data cleanliness, and consistency standards.
• Collaborate with cross-functional teams to improve reporting capabilities and decision-making processes.
Skills & Experience Required
• Experience in data analytics, reporting, or engineering data environments.
• Strong analytical skills with the ability to interpret complex datasets and identify meaningful trends.
• Experience producing management reports and presenting findings to stakeholders.
• Ability to work collaboratively with engineering and cross-functional teams.
• Strong attention to detail with a focus on data accuracy and governance.
• Experience supporting process improvement and data quality initiatives.
• Excellent communication and stakeholder management skills.
Desirable Skills
• Experience with defect management tools such as JIRA.
• Experience with data visualisation tools such as Tableau or similar platforms.
• Knowledge of software development or systems engineering environments.
• Experience within automotive, engineering, or technology sectors would be beneficial.
This is an opportunity to join a leading automotive organisation at the forefront of technology and innovation, where you will play an important role in driving data-led decisions and improving software quality across large-scale engineering programmes.
Data Analytics Engineer – Software & Systems Defects
Leading Automotive Manufacturer
Location: Hybrid/Gaydon
12 month Contract
Rate: £30 per hr
A leading automotive manufacturer is seeking a Data Analytics Engineer to support software and systems quality activities across complex engineering programmes. This role will focus on ensuring the integrity, consistency, and usability of software and systems defect data, helping teams make informed decisions and improve product quality across the development lifecycle.
You will act as a key link between testing teams, defect resolution engineers, and release teams, transforming complex datasets into meaningful insights and supporting business-critical reporting.
Key Responsibilities
• Analyse software and systems defect data to identify trends, risks, and key performance indicators.
• Ensure the quality, integrity, and consistency of defect data across engineering programmes.
• Support project planning and delivery activities through data-driven insights and recommendations.
• Produce transparent and high-quality weekly reporting for senior management stakeholders.
• Work closely with engineering teams to validate metrics and ensure reporting accuracy.
• Interpret data and communicate key findings and business messages clearly to stakeholders.
• Monitor defect tickets and identify common errors, inconsistencies, and tooling issues.
• Support continuous improvement initiatives relating to defect management processes and data quality.
• Coach and guide users on defect management best practices, data cleanliness, and consistency standards.
• Collaborate with cross-functional teams to improve reporting capabilities and decision-making processes.
Skills & Experience Required
• Experience in data analytics, reporting, or engineering data environments.
• Strong analytical skills with the ability to interpret complex datasets and identify meaningful trends.
• Experience producing management reports and presenting findings to stakeholders.
• Ability to work collaboratively with engineering and cross-functional teams.
• Strong attention to detail with a focus on data accuracy and governance.
• Experience supporting process improvement and data quality initiatives.
• Excellent communication and stakeholder management skills.
Desirable Skills
• Experience with defect management tools such as JIRA.
• Experience with data visualisation tools such as Tableau or similar platforms.
• Knowledge of software development or systems engineering environments.
• Experience within automotive, engineering, or technology sectors would be beneficial.
This is an opportunity to join a leading automotive organisation at the forefront of technology and innovation, where you will play an important role in driving data-led decisions and improving software quality across large-scale engineering programmes.






