Working Student Customer Journey Analytics (f/m/x)

Our team at the BMW Group focuses on Customer Journey Analytics, where we develop and scale AI and analytics products globally. We combine modern AI technologies with cloud-based solutions to drive data-driven decisions across products, processes, and customer experiences.

Responsibilities

Gain insights into global analytics, AI products, and their scaling within a large organization.; Contribute to AI and analytics initiatives that impact products, internal processes, and customer journey decisions.; Support the design, implementation, and operation of cloud-based AI solutions on AWS.; Help with modern AI technologies, including Large Language Models, AI Agents, and AI-assisted development tools such as GitHub Copilot.; Assist in building and scaling AI-driven applications, automation solutions, intelligent workflows, and KPI dashboards.; Support analyzing large datasets to better understand customer behavior, business performance, and product impact.; Collaborate with software engineers, data scientists, and business teams across Data Engineering, Data Analytics, and AI Engineering.

Requirements

Studies in computer science, business informatics, data science or a related field with at least 12 months remaining until graduation.; Hands-on experience with AWS cloud services, cloud-native application development, Python, and APIs.; Experience in Data Engineering, including large-scale datasets, data pipelines, and data processing frameworks.; Experience with AI developer tools such as Claude, GitHub Copilot, Cursor, Visual Studio Code, or similar solutions.; Advanced knowledge of Microsoft Excel and Microsoft PowerPoint, with attention to detail and motivation to deliver high-quality results.; Proactive mindset and ability to collaborate in international cross-functional teams.; Fluent German and English language skills.

Nice to have

Experience in digital marketing, e-commerce, or web analytics tools such as Adobe Analytics or Google Analytics

Benefits

Comprehensive mentoring & onboarding.; Personal & professional development.; Flexible working hours.; Mobile work.; Attractive & fair compensation.; Student apartments (subject to availability & only at the Munich location).