Flight Data Analyst

Carterton

1 year ago

Applications closed

Flight Data Analyst

On site 5 days/Shift pattern

£30,000 - £35,000 + Overtime

Capgemini are looking to recruit a Flight Data Analyst to join our team based in Brize Norton.

Job Purpose

Support the A400M maintenance by capturing and transferring into MDS (Maintenance Data System) the maintenance information generated by the Part 145 during a mission. This covers the period prior to the aircraft departure until coming back to the base, where weekly reports shall be produced and sent to the Part 145 to ensure all maintenance activities are carried out to meet the airworthiness standards.

Key Responsibilities

Retrospective data entry on MDS which covers

Closing work orders .

SRPs entry date and time as signed off by engineers

Creating and closing logbook entries.

Opening ADFs and or OOPs .

Inputting flight ground test data.

Deferring logbook entry work order.

Introduce servicing reports into MDS system.

Perform equipment transactions.

Send weekly reports to the Part 145 with the maintenance plan.

Report and escalate any issues found in the system to the relevant individual. General administration tasks.

The team supports essential maintenance activities for all live flight events, supporting every calendar day with on-call responsibilities including evening, weekends and bank holidays.

Essential Skills and Qualifications

Substantial working knowledge of Microsoft Office.

Methodical attention to detail.

Ability to work effectively in a team.

Able to work under pressure.

Ability to learn things quickly.

Admin Tech Admin background desirable.

Either currently hold Security Clearance or be eligible to become Security Cleared.

Must hold a driving license.

Must live less than 1 hour distance from Brize Norton.

Good report writing skills.

Desirable Skills and Qualifications

Experience with MDS

Aircraft maintenance experience inc. Part 145 and Part M is an advantage.

Information or data management software tools experience.

In addition to the culture and career development opportunities at Capgemini, we offer a matched pension scheme, healthcare and generous holiday allowance

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.