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Corporate Data Analyst Apprentice

1 Principal Place, Worship Street, London, EC2A 2FA
£30,992.00 annually
Closing date
31 Mar 2023

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Role Type
Apprenticeship, Degree
Start Date
What will the apprentice be doing?

You will be part of the UK Corporate Data Analyst Team and will be aligned to one of the following business areas - Finance, Fashion, On-line stores, UK Retail, Technology. As you progress, you will understand how data is used within your sector to enable insight and efficiency. You will develop strong analysis skills that can be applied in multiple environments preparing you for success.

Where you start with Amazon doesn't determine the course of your career, so many of our apprentices develop themselves beyond their wildest imaginations and we truly value early talent and your thoughts, ideas and contributions. Within your role you'll be encouraged to, and inspired to, make an impact developing skills for life throughout.

The apprenticeship combines working, earning a full-time salary, with fully funded part-time education. This will give you the opportunity to gain a Level 6 Data Analyst apprenticeship standard with the advantage of gaining relevant work-life skills and the excitement of helping to develop lower prices, better selection, and more convenient services for our customers from delivering fresh produce to their doorstep to creating and distributing movies, music, and more whilst taking your first steps towards a rewarding career.

This 36-month programme teaches you a range of useful experiences and skills. Your role is to ascertain how data can be used in order to answer questions and solve problems. You will be responsible for requirement-gathering, inspecting, cleansing, transforming and modelling data with the goal of discovering useful information, informing conclusions and supporting decision-making.

Across the programme, you will gain and develop data analysis skills and be involved in the following:
  • Implement the stages of the data analysis lifecycle
  • Apply principles of data classification within data analysis activity
  • Analyze data sets taking account of different data structures and database designs
  • Assess the impact on user experience and domain context on data analysis activity
  • Identify data sources and the risks and challenges to combination within data analysis activity
  • Select and apply the most appropriate data tools to achieve the optimum outcome

You will need to have strong communication skills as you will be liaising and sharing your work with different stakeholders. You will also need a good eye for details as you will be working with a lot of data and information that requires accuracy when handling the workload.

Alongside extensive development of your technical skills, you will also grow your abilities in crucial complementary areas like organization, prioritization, data and problem-solving techniques, teamwork, communication, presentation skills and document writing.

If you have a bias for action, the ambition to deliver results and collaborate and build trust, with an overarching passion to learn and be curious then you're our kind of person. To be a success, you will need to be committed to your own development and be prepared to make the most of the opportunities, practical experience and qualifications given to you. In return, we provide first class on the job coaching, specialist partner training and unparalleled experiences working within a diverse, innovative environment where you will be challenged to excel and positively contribute.

Working here means being entrepreneurial, being customer obsessed, thinking big and challenging the status quo, whilst working collaboratively to make the impossible a reality. Trust and empowerment are paramount to the way we work - it's what allows us to do things differently as well as be bold and creative.

What training will the apprentice take and what qualification will the apprentice get at the end?

As well as learning key skills, you will be working towards the BSc (Hons) Digital & Technology Solutions (Data Analyst pathway) apprenticeship standard.

Training will be delivered in a mix of remote and face-to-face sessions.

Each week, apprentices will be allocated time away from their day to day roles to work on their apprenticeship studies. You will spend approximately 80% of your working week learning from skilled members of the team whilst supporting learning on the job.

The apprenticeship will run for 36 months, at the end of which you will be eligible to apply for higher roles in relevant teams within Amazon or anywhere in the industry.

This is the ideal opportunity to get valuable work-experience at Amazon, as well as gaining a relevant qualification funded by Amazon.

What is the expected career progression after this apprenticeship?

Throughout the apprenticeship, you will work alongside the team, supporting with day-to-day tasks learning how Amazon works and delivers for its customers. As your knowledge and skills increase over the duration of the scheme you will have opportunities to be part of and lead projects, making a difference for customers. The on-the-job experience will help you build a portfolio of evidence towards your apprenticeship. You will be given dedicated time to focus on your studies to help you stay on track and work towards successfully completing your qualification(s).

Once you have successfully completed your Corporate Data Analyst Apprenticeship, you will be able to apply for relevant roles across the business.

Requirements and prospects

Desired skills and personal qualities

Communication skills, Attention to detail, Organisation skills, Team working, Passion for technology


GCSE or equivalent 5 subjects inc. English and maths (Grade C/4 or above) Essential
A Level or equivalent 2 passes in 1 or more STEM subject (Grade A-E) Desired
BTEC or equivalent a similar subject (Grade Extended Diploma) Desired
Other Apprenticeship in an appropriate discipline (Grade Level 3 apprenticeship at Pass) Desired
Other STEM a similar subject (Grade T-Level) Desired

Things to consider

Re qualifications section: Note: "Similar subject" relates to areas directly relevant to STEM (Science, Technology, Engineering, Mathematics) subjects.

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