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A leading global technology company in Gateshead seeks a Data Analyst Apprentice to unlock the power of data while earning a fully funded BSc degree. Responsibilities include analyzing data for actionable insights, managing databases, and collaborating across teams. Ideal candidates are 18+, possess strong IT foundations, and have relevant qualifications. This role combines 80% hands-on experience with 20% academic study, fostering growth in a supportive environment.
Are you ready to unlock the power of data while earning a fully funded degree? 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.
Over 42 months you’ll combine hands‑on experience with academic study while 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 spend 80% of your time learning on the job and 20% completing formal study supported by your training provider and Amazon manager.
Apprentices may be assigned to projects across different business areas, including work involving sales of products such as alcohol or pork. We recognise that candidates may have personal or religious considerations related to these areas and encourage discussion early in the process to explore accommodations.
Amazon is an equal‑opportunity employer. We value diversity, inclusiveness and innovation, and we do not discriminate on the basis of protected veteran status, disability, or any other legally protected status. If you require a work‑place accommodation or adjustment during the application and hiring process, please visit the dedicated page for more information.
Key Skills: Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Analytics.
Employment Type: Full‑Time. Vacancy: 1.