Data Analyst Apprentice

Amazon.com, Inc; East Midlands; On-site; GBP 20,000 - 25,000; Full time

Job summary

A leading e-commerce company in the UK is seeking Data Analyst Apprentices. This role offers a fully funded degree, working with data across various business lines to optimize processes and improve customer satisfaction. Applicants should have GCSEs in Maths and English and A Levels in STEM subjects. This apprenticeship combines hands-on experience with academic study over 42 months, focusing on data analysis, problem-solving, and effectively bringing insights to stakeholders.

Responsibilities

• Analyse and interpret data to generate actionable insights.
• Design data models and manage databases efficiently.
• Collaborate across teams to solve business problems.
• Create reports and visualisations that bring data to life.

Skills

Communication skills

Attention to detail

Organisation skills

Problem solving skills

Number skills

Analytical skills

Logical thinking

Team working

Education

GCSE in 5 subjects including Maths and English

A Level in at least 2 subjects, including at least 1 STEM subject

Job description

Join Our Data Analyst Apprenticeship

Are you ready to unlock the power of data while earning a fully funded degree? Are you fascinated by the stories that data can tell? Join Amazon as a Data Analyst Apprentice and make an impact that reaches millions of customers every day. Our Data Analyst apprentices work across Amazon's diverse business lines, from Operations to Finance and Retail. You'll dive into vast datasets, uncover patterns, and turn insights into actions that drive real-world change. Your analysis could help reduce delivery times, optimise processes, drive innovation in technology, improve sustainability, or enhance customer satisfaction. This is more than analysing numbers – it's about telling stories through data, solving complex problems, and improving the customer experience at scale. Throughout your apprenticeship, you’ll develop in-demand technical and professional skills, including how to:

• Analyse and interpret data to generate actionable insights.
• Design data models and manage databases efficiently.
• Ensure data security and compliance with legal standards.
• Collaborate across teams to solve business problems.
• Create reports and visualisations that bring data to life.
• Stay up to date with the latest tools and technologies.
• 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 (ISO Standards, Waterfall, Agile) in a digital and technology solution project.
• Manage digital and technology solutions projects, identifying and resolving deviations from specification and applying appropriate project management methodologies.
• Work effectively within teams, leading on appropriate digital technology solution activities.
• Apply relevant organisational theories (change management, marketing, strategic practice, IT service management) to a digital and technology solutions project.
• Apply relevant security and resilience techniques to a digital and technology solution (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 (Text, Statistical, Diagnostic or Predictive Analysis) to assess a digital and technology solution.
• Plan, design and manage simple computer networks focusing 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.
• 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, including presentations, written reports and storytelling in a professional setting.
• Make evidence‑based recommendations taking into account risks, costs, and benefits.
• Participate in walk‑throughs for Information Technology, identifying, documenting and evaluating 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 organization 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, processing and 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 using charts, graphs and dashboards.
• Identify barriers to effective analysis encountered by analysts and 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 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.

Training schedule – Over 42 months, you’ll combine hands‑on experience with academic study, working towards a BSc (Hons) in Digital & Technology Solutions (Data Analyst pathway). From day one, you’ll be part of a supportive team that values curiosity, innovation, and continuous learning. You’ll start by mastering the foundations of data analysis and progress to tackling advanced analytics tasks. One day you might be optimising delivery routes, the next you could be building dashboards or modelling forecasts that shape strategic direction. You’ll spend 80% of your time learning on the job and 20% completing formal study, supported by your training provider and your Amazon manager. Together, they’ll guide your progress and help you achieve your goals.

Required Qualifications and Experience:

• GCSE in 5 subjects including Maths and English (grade 4‑9 (A‑C) or above)
• A Level in at least 2 subjects, including at least 1 STEM subject (grade D or above)
• Relevant qualifications and industry experience are also welcome.

Key Skills:

• Communication skills
• Attention to detail
• Organisation skills
• Problem solving skills
• Number skills
• Analytical skills
• Logical thinking
• Team working

Throughout the apprenticeship, you will work alongside the team, supporting day‑to‑day tasks and 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.

Our inclusive culture values diverse perspectives, encourages experimentation, and celebrates innovation.