At a Glance
- Tasks: Transform messy data into actionable insights and collaborate with teams to solve real-world challenges.
- Company: Join Amazon, a leader in innovation and inclusivity.
- Benefits: Gain a BSc degree while earning, with mentorship and career growth opportunities.
- Other info: Dynamic apprenticeship with travel for training and a supportive, inclusive environment.
- Why this job: Dive into data, tell compelling stories, and shape experiences for millions of customers.
- Qualifications: Curiosity about data, problem-solving skills, and a collaborative mindset are essential.
The predicted salary is between 19350 - 23650 £ per year.
Are you a curious problem-solver who loves finding the story hidden in the numbers? If so, we have an exciting opportunity for you to join Amazon as a Data Analyst Apprentice. You'll be part of a dynamic team that turns complex, messy data into insight the business can act on - working with teams across the organisation to solve real-world challenges. The problems you solve will help shape experiences for millions of customers.
This apprenticeship is where you'll grow. You'll build your technical toolkit alongside the critical thinking to understand a problem before you solve it, and the confidence to communicate what your findings actually mean.
A day in the life can involve:
- Diving into diverse data sets, cleansing and transforming them into structured formats for analysis
- Leveraging powerful data visualisation tools to bring information to life and tell a story
- Collaborating with stakeholders across the organisation, understanding their needs and translating them into actionable insights
- Staying up to date with the latest trends and developments
- Participating in team meetings, brainstorming sessions, and knowledge-sharing activities
Our data team is a passionate group who thrive on turning complex information into meaning. We move fast, fail fast, and fix faster - so you'll be encouraged to bring your ideas, test them, and learn as you go, with the mentorship and support to help you excel. We welcome individuals from all backgrounds. What matters most is a meticulous eye for detail - you'll be working with large datasets where accuracy and quality really count - along with the flexibility to adapt as priorities shift.
Here at Amazon, it's in our nature to learn and be curious. Within this apprenticeship, you'll learn by doing – putting newfound knowledge into practice every day. Our first-class coaching, tailored development, and rewarding work will empower you to reach new heights and build the future you envision. You'll gain a vast range of experiences and skills while working towards the BSc (Hons) Digital and Technology Solutions (Data Analysis Pathway) Degree.
As a working student, your focus is to complete your studies in your 20% off-the-job time, developing the skills, knowledge, and behaviours to work towards successful graduation. You'll be set goals by your training provider and manager to support your studies. You'll build your skills over a 42-month period, starting in September. Your apprenticeship will combine classroom/virtual-based training, on-the-job training at your Amazon base location, online learning, and mentoring from our experienced team members.
We value different perspectives and experiences, and we're dedicated to creating an inclusive environment where everyone can thrive. Our employee-led affinity groups – including communities for women in tech, LGBTQ+ employees, and underrepresented minorities – provide community, mentorship, and a platform for your voice to be heard. We're committed to building a workforce that reflects the customers and communities we serve. We're also continuously raising our performance bar as we strive to become Earth's Best Employer, so you'll have the resources and support to develop into a well-rounded professional.
Your career isn't a straight path - it's a journey you build as you go. A universe of opportunity awaits, and your next adventure starts here.
Please note: as part of your off-the-job learning on this 42-month apprenticeship, you may be required to travel to a training centre, which may differ from your primary work base. Candidates should be prepared for occasional travel as part of the programme.
To qualify for this programme, you must:
- Be 18 years or over before the start date (September 2027)
- Have the right to live and work in England at the point of enrolment (June 2027). If you are on a visa, this must enable you to legally work and reside in England for the entire duration of the programme from enrolment.
- Have lived in the UK or in the European Economic Area (EEA) for the last 3 years prior to the start date
- Not be registered to study on a UK government funded course ending August 2027 or later
- Be prepared to travel for external/mandatory training as part of the apprenticeship
- Hold 5 GCSEs (grades C/4 or above) including Maths and English, and ONE of the following: 2 A Levels (grade C or above) in relevant subjects, or Level 3 apprenticeship in a similar subject, or International Baccalaureate (Level 3), or BTEC Extended Diploma (similar subjects)
Please note, if you have received educational qualifications outside of the UK then we will require a Statement of Comparability to confirm your eligibility for the scheme. Please ensure you obtain one during the application process, through UK ENIC: https://www.enic.org.uk/
Previous qualifications will be reviewed for funding eligibility and offers are subject to funding approval. This position is a 42 month fixed-term contract. You must NOT already have a qualification in a similar subject at the same or higher level than this apprenticeship.
This Apprenticeship assumes the candidate has some or little knowledge/experience of the occupation.
A genuine curiosity about data and a passion for finding the story behind the numbers.
Great analytical and logical thinking ability, with an enjoyment of problem-solving.
Excellent written and verbal communication skills, with the ability to explain findings clearly to a range of audiences.
Comfortable working collaboratively as part of a team.
A flexible, adaptable attitude and the ability to manage changing priorities.
Evidence of self-directed learning - e.g. online courses, personal projects, or exploring data/spreadsheets in your own time.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Data Analyst Apprentice - 42 month Fixed Term Contract in London employer: Amazon
Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Apprentice - 42 month Fixed Term Contract in London
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at Amazon.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of Amazon and show them you’re genuinely passionate about the field.
We think you need these skills to ace Data Analyst Apprentice - 42 month Fixed Term Contract in London
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at Amazon that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at Amazon
✨Brush Up on the Basics
Before your interview with Amazon, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at Amazon. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!
