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1 month ago
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Safrangroup·1 month ago
1 month ago

Data Analyst - 12m Fixed Term Contract

Banbury, United KingdomContractMid · 2-5 yearsData Analyst

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Must-have skills for this role

  • power bi
  • data analysis
  • sql
  • python

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Apply faster with autofill FREEsafrangroup uses Workable - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

About this role

We are seeking a motivated Data Analyst to support the development and deployment of digital manufacturing solutions across Safran Engineering Services and customer sites. This role will focus on collecting, centralising and analysing production data from multiple locations, transforming complex datasets into meaningful insights that drive operational efficiency and continuous improvement.

Working closely with Manufacturing Engineers, Digital teams and key stakeholders in the UK and France, you will help create a cohesive approach to data management, reporting and performance measurement, enabling data-driven decision making across the business.

The role will be based across Wolverhampton and Banbury sites with occasional travel to customer and other Safran sites, including in France, and will initially be a 12m fixed term employment contract

Key Responsibilities:

  • Collect, consolidate and validate production and operational data from multiple sites and systems.
  • Develop and maintain interactive dashboards, reports and KPIs using tools such as Power BI.
  • Analyse manufacturing and operational data to identify trends, inefficiencies and opportunities for improvement.
  • Support Manufacturing Engineers with data mining, root cause analysis and performance improvement activities.
  • Assist in the development of standardised data structures, reporting methodologies and digital tools.
  • Collaborate with Digital teams in the UK and France to understand, promote and deploy digital capabilities.
  • Present data-driven insights and recommendations to both technical and non-technical stakeholders.
  • Support continuous improvement and digital transformation initiatives through robust data analysis.
  • Document analytical processes, findings and recommendations to support knowledge sharing and project delivery.

Requirements

  • Bachelor's degree in a STEM discipline such as Engineering, Mathematics, Data Science, Computer Science, Physics or equivalent.
  • Experience using data visualisation and reporting tools such as Power BI.
  • Knowledge of programming and data management tools such as SQL, Python, VBA or similar.
  • Strong analytical and problem-solving skills with the ability to convert data into practical business insights.
  • Ability to work independently, proactively and manage multiple priorities.
  • Excellent communication and stakeholder management skills.
  • Experience of analysing and interpreting large datasets.
  • Exposure to manufacturing, production engineering or industrial environments.
  • Experience using data to support operational performance improvement initiatives.
  • Knowledge of databases, data modelling and KPI development.
  • Understanding of digital manufacturing, Industry 4.0 or continuous improvement methodologies.
  • Experience with statistical analysis tools, MathCAD or similar engineering software.
  • Previous aerospace or engineering sector experience.

Benefits

  • Early finish on a Friday (1pm)
  • 5 weeks holiday per year plus statutory bank holidays
  • Personal pension scheme whereby 5% contribution from employee and 8% from employer plus salary sacrifice
  • Death in service life insurance covering up to 4x annual basic salary
  • PEGI Share Scheme
  • Career development within the Safran Group
  • Training and development opportunities

Company

Safrangroup
Banbury, United Kingdom

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Safrangroup's careers site·first seen 21 Aug 2026·last verified 8 Sept 2026·How we source jobs

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