Data Analyst Degree Apprentice (42 month Fixed Term Contract)
AMAZON UK SERVICES LTD.
Worship Street (EC2A 2FA)
Closes on Monday 1 February 2027
Posted on 10 November 2026
Contents
Summary
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.
- Wage
-
Competitive
Competitive wage offered
- Training course
- Digital and technology solutions professional (level 6)
- Hours
-
Apprentices will work a 40-hour working week, Monday to Friday. Shifts to be confirmed.
40 hours a week
- Start date
-
Monday 6 September 2027
- Duration
-
3 years 6 months
- Positions available
-
2
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
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.
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.
Where you'll work
1 Principal Place
Worship Street
EC2A 2FA
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA LIMITED
Training course
Digital and technology solutions professional (level 6)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Analyse a business problem to identify the role of digital and technology solutions.
- Identify risks, determine mitigation strategies and opportunities for improvement in a digital and technology solutions project.
- Analyse a business problem in order to specify an appropriate digital and technology solution.
- Initiate, design, code, test and debug a software component for a digital and technology solution.
- Apply relevant standard processes, methods, techniques and tools. For example, ISO Standards, Waterfall, Agile in a digital and technology solution project.
- Manage digital and technology solutions projects. For example, identifying and resolving deviations from specification, applying appropriate Project Management methodologies.
- Work effectively within teams, leading on appropriate digital technology solution activities.
- Apply relevant organisational theories. For example, change management principles, marketing approaches, strategic practice, and IT service management to a digital and technology solutions project.
- Apply relevant security and resilience techniques to a digital and technology solution. For example, risk assessments, mitigation strategies.
- Initiate, design, implement and debug a data product for a digital and technology solution.
- Determine and use appropriate data analysis techniques. For example, Text, Statistical, Diagnostic or Predictive Analysis to assess a digital and technology solutions.
- Plan, design and manage simple computer networks with an overall focus on the services and capabilities that network infrastructure solutions enable in an organisational context.
- Report effectively to colleagues and stakeholders using the appropriate language and style, to meet the needs of the audience concerned.
- Research, investigate, and evaluate innovative technologies or approaches in the development of a digital and technology solution.
- Apply relevant legal, ethical, social and professional standards to a digital and technology solution.
- Identify and define software engineering problems that are non-routine and incompletely specified.
- Provide recommendations as to the most appropriate software engineering solution.
- Use appropriate analysis methods, approaches and techniques in software engineering projects to deliver an outcome that meets requirements.
- Implement software engineering projects using appropriate software engineering methods, approaches and techniques.
- Respond to changing priorities and problems arising within software engineering projects by making revised recommendations, and adapting plans as necessary, to fit the scenario being investigated.
- Determine, refine, adapt and use appropriate software engineering methods, approaches and techniques to evaluate software engineering project outcomes.
- Evaluate learning points arising from software engineering work undertaken on a project including use of methods, analysis undertaken, selection of approach and the outcome achieved, in order to identify both lessons learnt and recommendations for improvements to future projects.
- Extend and update software development knowledge with evidence from professional and academic sources by undertaking appropriate research to inform best practice and lead improvements in the organisation.
- Analyse client needs and determine how to advise them strategically through improved business processes, new ideas, or technology solutions.
- Effectively communicate value add to the client through a variety of media. For example, presentations, written reports, Storytelling in a professional setting through performing socio-technical process improvements in a range of environments.
- Make evidence based recommendations taking into account risks, costs, and benefits.
- Participate in walk-throughs for Information Technologies, to identify, document and evaluate key risks within a client’s organisation.
- Perform stakeholder analysis to identify, determine and deepen understanding of system requirements and develop client relationships.
- Effect change within an organisation through evaluation of a new system, process or initiative.
- Ensure legal and ethical requirements are accommodated in the development of digital and technology solutions.
- Evaluate the success of new systems, processes, or initiatives.
- Use requirements elicitation, analysis and documentation to produce an acceptable solution for business problems or further opportunities.
- Conduct Process Analysis, Definition, Mapping and Modelling within a business situation without supervision.
- Produce Use Cases which are of value to all stakeholders of a system.
- Use tools and benchmarking to support modelling and requirements gathering and recommend approaches to team members as required.
- Produce a business case to scope a proposed project including business benefits and recommendations.
- Use products of analysis in the design and development of a system.
- Evaluate the impacts of model selection and how they inter-relate with each other when generating business analytics.
- Recommend and use appropriate software tools to implement Business Analysis tasks and outcomes.
- Discover, identify and analyse security threats, attack techniques and vulnerabilities and recommend mitigation and security controls.
- Undertake security risk assessments for complex systems without direct supervision and propose a remediation strategy relevant to the context of the organisation.
- Recommend improvements to the cyber security approaches of an organisation based on research into future potential cyber threats and considering threat trends.
- Manage cyber security risk.
- Use appropriate cyber security technology, tools and techniques in relation to the risks identified.
- Lead cyber security awareness campaigns and evaluate their effectiveness.
- Analyse cyber security requirements against other design requirements for systems or products, identify conflicting requirements and recommend appropriate solutions with clear explanation of costs and benefits.
- Lead the design and build of systems in accordance with a security case to address organisational challenges.
- Define Data Requirements and perform Data Collection, Data Processing and Data Cleansing.
- Apply different types of Data Analysis, as appropriate, to drive improvements for specific business problems.
- Find, present, communicate and disseminate data analysis outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Visualise data to tell compelling and actionable narratives by using the best medium for each audience, such as charts, graphs and dashboards.
- Identify barriers to effective analysis encountered both by analysts and their stakeholders within data analysis projects.
- Apply a range of techniques for analysing quantitative data such as data mining, time series forecasting, algorithms, statistics and modelling techniques to identify and predict trends and patterns in data.
- Apply exploratory or confirmatory approaches to analysing data. Validate and and test stability of the results.
- Extract data from a range of sources. For example, databases, web services, open data.
- Analyse in detail large data sets, using a range of industry standard tools and data analysis methods.
- Identify and collate stakeholder needs in relation to computer network requirements, plans and designs.
- Plan, design, document, and develop the relevant elements of a computer network within an organisation or between organisations, taking into account customer requirements (performance, scale), constraints (budget, equipment availability), and define policies for their use.
- Monitor performance and ensure networks are configured correctly and perform as expected by designers or architects. Undertake capacity management and audit of IP addressing and hosted devices.
- Investigate, troubleshoot and resolve data network faults in local and wide area environments, using information from multiple sources, Physically or Remotely by console connection. Recommend and implement short term fixes to restore service and, or, quality of experience and recommend longer term changes to prevent recurrence or reduce impact of future occurrences.
- Implement computer networks from a design including testing and validation. This includes populating variables in configurations, for example, IP addresses and subsequent application of configuration to equipment such as routers, switches, firewalls.
- Secure network systems by establishing and enforcing policies, and defining and monitoring access. Support and administer firewall environments in line with IT security policy.
- Research and evaluate emerging network technologies and assess relevance to current network requirements. Provide an objective opinion on how new features and technologies may be incorporated as required by the organisation.
- Investigate security concerns or attacks. For example, Distributed Denial of Service (DDOS), port scanning, assessing key metrics and indicators, evidencing the chosen steps to mitigate.
- Analyse a business problem to identify the role of digital and technology solutions.
- Identify risks, determine mitigation strategies and opportunities for improvement in a digital and technology solutions project.
- Analyse a business problem in order to specify an appropriate digital and technology solution.
- Initiate, design, code, test and debug a software component for a digital and technology solution.
- Apply relevant standard processes, methods, techniques and tools. For example, ISO Standards, Waterfall, Agile in a digital and technology solution project.
- Manage digital and technology solutions projects. For example, identifying and resolving deviations from specification, applying appropriate Project Management methodologies.
- Work effectively within teams, leading on appropriate digital technology solution activities.
- Apply relevant organisational theories. For example, change management principles, marketing approaches, strategic practice, and IT service management to a digital and technology solutions project.
- Apply relevant security and resilience techniques to a digital and technology solution. For example, risk assessments, mitigation strategies.
- Initiate, design, implement and debug a data product for a digital and technology solution.
- Determine and use appropriate data analysis techniques. For example, Text, Statistical, Diagnostic or Predictive Analysis to assess a digital and technology solutions.
- Plan, design and manage simple computer networks with an overall focus on the services and capabilities that network infrastructure solutions enable in an organisational context.
- Report effectively to colleagues and stakeholders using the appropriate language and style, to meet the needs of the audience concerned.
- Research, investigate, and evaluate innovative technologies or approaches in the development of a digital and technology solution.
- Apply relevant legal, ethical, social and professional standards to a digital and technology solution.
Training schedule
- 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.
Requirements
Essential qualifications
GCSE in:
A Level in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Number skills
- Analytical skills
- Logical
- Team working
About this employer
Amazon offers a range of opportunities to suit candidates with different backgrounds, qualifications and career aspirations. That is why we believe it is the perfect place to learn new skills. We believe that building a culture that is welcoming and inclusive is integral to people doing their best work and is essential to what we can achieve as a company. We take steps to ensure our colleagues have a sense of belonging, value, and opportunity.
https://amazonapprenticeships.co.uk/data-analyst (opens in new tab)
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
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 Data Analyst Apprenticeship you will be able to apply for relevant roles across the business.
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC2000063573.
Apply now
Closes on Monday 1 February 2027
After signing in, you’ll apply for this apprenticeship on the company's website.