Data Analyst Apprentice

Motability Operations Ltd
Bristol
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst Apprentice

Data Analyst Business Coach

Data Analyst Business Coach

Data Analyst

Data Analyst

Data Analyst

About The Role

The Data Analyst Apprenticeship Programme at Motability Operations is an exciting opportunity to take your first steps into a rewarding career at a high performing organisation. Over the 18-month programme, you will combine work and study, working towards a Level 4 Data Analyst qualification while becoming a valued member of a well‑established and respected team. You will build your knowledge of data analysis by working alongside experienced colleagues on meaningful projects across the business. This apprenticeship offers an alternative route into a successful organisation outside of the traditional university pathway. You will learn from experts, develop your technical and professional skills, and grow your confidence in a collaborative and innovative environment. You will complete a structured training programme with our chosen provider, who will guide you throughout your apprenticeship journey.


Responsibilities

  • Perform initial analysis on raw data
  • Clarify business requirements
  • Validate and process data
  • Support data governance
  • Create visualisations
  • Test and support automation

You will often be the first person to interact with new data, helping classify and cleanse it, and working closely with data engineers. You will also support colleagues across the business to understand the value of their data and the insights it can provide.


Development Skills

  • Analyse and evaluate data in different formats such as database tables, JSON and CSV
  • Work with databases, including SQL and data structures
  • Collaborate closely within your team and across the business
  • Work in an agile development environment
  • Help define and maintain technical and business processes
  • Present ideas and findings clearly in meetings

Who You’ll Be Working With

You will join our Data and Analytics Centre of Excellence team in Bristol. We provide tools and methods that help the wider business gain insight from our data warehouse and data lake. We mainly work with Oracle, Snowflake and AWS technologies, alongside other database and coding tools. We are an innovative and supportive team working closely with colleagues across the business to meet their reporting and insight needs.


About You

  • You are curious, motivated and ready to learn.
  • You enjoy working with others and are comfortable working independently when needed.
  • You have a strong interest in data and technology, even if you do not yet have experience in this area.
  • You can understand, explain and solve complex problems.
  • You are comfortable adapting to change, proactive in balancing work and study, and keen to keep developing your skills.
  • You are confident using Microsoft Word, Excel and PowerPoint. Any experience with databases, data analysis tools or visualisation tools would be beneficial.

Minimum Criteria

  • The right to work in the UK.
  • At least a grade four or C at GCSE, or equivalent, in Maths and English.
  • Three A levels or BTECs at grade A to C in any subject, either attained or predicted.
  • Not previously studied the same course content.
  • Not undertaking another qualification during your apprenticeship.

Recruitment Process

  • Application and CV (From 23rd February)
  • Video assessment (From 10th March)
  • Assessment centre (2nd April, all day)

As part of your application you will answer four questions specific to the apprenticeship role. Applicants through the Disability Confident scheme who meet the minimum criteria will progress to the video assessment stage. If you progress to the video assessment, you will answer questions via video response with thinking time and response time for each question. You have 6 days to complete your video assessment from the invitation date.


Interview Stage (You Will)

  • Meet the team
  • Take part in an interview
  • Complete task‑based activities
  • Complete a pre‑assessment centre task to present on the day

Offer

If you are successful, we will offer you a place on our Data Analyst apprenticeship programme, which will start in September.


About the Company

We’re the company behind the Motability Scheme, the UK’s largest car leasing company, delivering smart, sustainable solutions that improve our customers’ mobility. With over 1800 employees across London, Bristol, Edinburgh and Coalville, we aim to create an environment where people flourish and meet our customers' needs. We also lease a wide range of tailored mobility solutions and manage the entire lifecycle of the vehicle.


How We Work

We work in a hybrid way, remotely up to two days per week and in our office the rest of the time, providing a good work/life balance. We accommodate part‑time and flexible working requests where possible.


Our Beliefs and Values

  • We believe no one should be left behind → We find solutions.
  • We believe we must take the lead → We drive change.
  • We believe everything starts with the customer → We care.

Please note, Motability Operations reserves the right to bring forward the closing date of any vacancy if we receive a suitable number of quality applications. We recommend applying as soon as possible rather than waiting until the published closing date.


#J-18808-Ljbffr

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.

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.

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.