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Data analyst apprentice - 42 months fixed term contract

Rochester
Temporary
Data analyst
Posted: 6h ago
Offer description

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. Key job responsibilities 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 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. At Amazon, you’ll work alongside industry experts who are passionate about mentoring the next generation of data professionals. Our inclusive culture values diverse perspectives, encourages experimentation, and celebrates innovation. You’ll gain exposure to real projects that make an impact — and see the results of your work every day. We’re not looking for technical experts (yet) — we’re looking for potential. If you’re naturally curious, love solving problems, and enjoy finding meaning in numbers, this is the role for you. Bring your enthusiasm, analytical mindset, and drive to learn — we’ll provide everything else you need to succeed. 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, foster a culture on inclusion that empowers us to be proud of our differences. These groups 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 continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. If you’re excited by the idea of turning data into insights, insights into action, and action into impact, we want to hear from you. Apply now and let's decode the future together. Please note: Apprentices at Amazon may be assigned to projects across different business areas, which can include work involving sales of products such as alcohol or pork. We recognise that applicants may have personal or religious considerations related to these areas and encourage candidates to discuss any concerns early in the process so that we can explore possible accommodations early in the process.

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