Data Analyst Apprenticeship

Baltic Apprenticeships
Cambridge
2 weeks ago
Create job alert

/ Data Analyst Apprenticeship# Data Analyst ApprenticeshipAt Hexcel, one person can make the difference. You’ll join a team that powers aerospace and advanced industries with high‑performance composite materials, while developing your career through real responsibility, mentoring and formal learning. Their hiring approach emphasises growth, inclusion and meaningful impact from day one. You will support the European Supply Chain team with data, […]At Hexcel, one person can make the difference. You’ll join a team that powers aerospace and advanced industries with high‑performance composite materials, while developing your career through real responsibility, mentoring and formal learning. Their hiring approach emphasises growth, inclusion and meaningful impact from day one.You will support the European Supply Chain team with data, analysis and coordination that improves material flow, service, inventory and schedule adherence across Hexcel sites and partners. You’ll rotate through core supply chain activities, learn their planning systems, and help turn data into actions that our plants and customers feel.Alongside their role, the apprentice will complete a fully funded training programme with Baltic Apprenticeships, delivered through structured two-day training blocks every four to six weeks. This programme provides industry-relevant learning, recognised qualifications, and the opportunity to apply newly developed skills directly within the workplace.In this role, you’ll work towards your Level 4 Data Analyst qualification, delivered by our expert training team at Baltic Apprenticeships.A Typical Day in the Job:* Planning support: Prepare and maintain short‑ to mid‑term supply and inventory plans; consolidate inputs from site planners and program teams for weekly reviews.* Data and reporting: Build/refresh dashboards and KPIs (OTD, late orders, forecast accuracy, inventory turns, lead times) using Excel/Power BI; investigate drivers and propose corrective actions.* Systems & master data: Learn and support planning tools (e.g., ERP/MRP, advanced planning and scheduling) — including running standard routines, health‑checking master data and raising fixes with IT/analysts where needed.* Order & capacity coordination: Help track constraints, expedite critical materials, and communicate changes to stakeholders across plants and customer service.* Stakeholder collaboration: Work with site planners, procurement, customer service and logistics across EMEA; contribute to reviews and action logs.Full training and support will be provided by your workplace mentor and from the team at Baltic Apprenticeships.Desired Qualities, Skills and Knowledge* Numerate & analytical: Comfortable with Excel (lookups, pivots, basic formulas); keen to learn Power BI or similar BI tools.* Organised: Able to prioritise, manage deadlines and follow through on actions.* Values‑led: Safety‑first, respectful and inclusive; eager to learn and improve every week.* Collaborative communicator: Clear, curious and professional with colleagues at different sites/levels.* Familiarity with any ERP/MRP system, SQL basics, or Python for data tasks.* Interest in aerospace/advanced materials.* A driving licence is required for this role.* You must hold at least a grade 4/C at GCSE in English and Maths for this programme.Salary, Hours&Benefits:* £26,520 per annum* Working 8:30-4:45, Monday-Friday* 45 minute lunch break* Based in Duxford with hybrid collaboration where role permits; occasional travel to European sites for learning, reviews or projects. (Specify frequency once agreed with the line manager.)* Progression opportunities on successful completionThis apprenticeship programme will provide you with everything you need to launch and develop your career in data. Afterwards, we’ll support you to take the next steps, including further training and progression.Your Training with Baltic ApprenticeshipsBaltic Apprenticeships were the first training provider to offer a completely tech-focused, tech-driven training solution. We help people transform their knowledge and passion into skills that employers need.This apprenticeship will teach you essential data skills, including how to source, format and present data; data validation and analysis; and how to apply legal and ethical principles when gathering and manipulating business data.INDDA### Vacancy InformationCambridgeCB22 4QBData Analyst - Level 4£26,520J-013614LocationCambridgeSalary**£26,520PostcodeCB22 4QBLocationRuabonSalary£17,000 - £19,000PostcodeLL14 6HA**
#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst Apprentice

Data Analyst Apprentice: Learn BI, ERP & Supply Chain

Data Analyst Apprentice

Apprentice Data Analyst

Energy Billing Data Analyst Apprentice – Net Zero Impact

Level 4 Data Analyst Apprentice — Power BI & Forecasting

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.

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.

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.