National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst Degree Apprenticeships - Safran Seats

Safran Seats
Cwmbran
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Degree Apprenticeship (Level 6)

Data Analyst Trainer

Data Analyst Trainer

Data Analyst Trainer

Senior Performance & Data Analyst

Decision Scientist

Job Description

Safran Seats GB is proud to announce the launch of its 2024 Apprenticeship recruitment campaign. This year we have 2 opportunities in Data Analytics within our Supply Chain Function.

Safran Seats are an industry award winning, premium designer and manufacturer of First and Business Class seating and technology. Our passenger experience prides itself on innovation, customization, quality and industrial design.

At Safran Seats, we are unique within aerospace, as we interface with both the world's biggest airlines and air framers alike, with the largest seats portfolio of all seats suppliers. One day you could be dealing with one of the world's largest air framers, and the next, some of the biggest airline brands around the world!

In the UK, Safran Seats specialises solely in the First Class and Business Class seating markets for wide body aircraft, with industrial and engineering teams in Cwmbran and Newport, Wales.

Complementary Description

Are you passionate about data and how it can be used to give you a greater understanding of a situation?
Do you enjoy using data to solve problems and recommend solutions?
Do you like working with others as part of a team?
Would you like to gain practical experience whilst studying for a qualification and be paid for the privilege?

If the answer to all of these is yes, then this could be the role for you!

As an Data Analyst apprentice, you will gain on-the-job experience whilst studying a level 4 in Data Analytics progressing up to Level 6 (Degree) to become fully qualified Data Analyst. You will learn the core skills needed to effectively analyse and present data to business users on topics relevant to their work. You will learn about key data analysis tools and techniques and how to apply them in the workplace. You will support the Master Data Manager in delivering business insights that drive performance improvements and you will contribute to the delivery of the data 4.0 roadmap at SGB.

Job Requirements

Key Responsibilities:
• Creation and maintenance of data extracts to support key business use cases
• Monitoring of key performance indicators
• Building key metrics
• Statistical analysis and data visualization
• Provide analytical support for the exploration and complex analysis of data
• Organize, summarize and translate information to facilitate decision-making
• Undertake analytical activities looking at data quality, seeking out potential opportunities to improve data structure and maintenance processes, implementing where appropriate.
• Ensure all process documentation and rulesets, including the data catalogue, are kept current.
• Completion of apprenticeship qualifications and supporting projects

Successful candidates will have achieved, or expect to achieve at least 5 GCSE's - including Math and English - Grade A-C or 4-9.

Potential candidates will need to be available to attend our assessment centre on Friday 16th August, ready to start their apprenticeship in early September 2024.

Specificity of the job

none

National AI Awards 2025

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.