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

Working student position at BMW AG focusing on Customer Journey Analytics, developing and scaling AI and analytics products globally using cloud-based solutions.

• You will gain insights into global analytics, AI products, and their scaling within a large organization.
• Furthermore, you contribute to AI and analytics initiatives that impact products, internal processes, and customer journey decisions.
• In addition, you support the design, implementation, and operation of cloud-based AI solutions on AWS.
• Moreover, you help with modern AI technologies, including Large Language Models, AI Agents, and AI-assisted development tools such as GitHub Copilot.
• You will assist in building and scaling AI-driven applications, automation solutions, intelligent workflows, and KPI dashboards.
• Furthermore, you support analyzing large datasets to better understand customer behavior, business performance, and product impact.
• In addition, you collaborate with software engineers, data scientists, and business teams across Data Engineering, Data Analytics, and AI Engineering.

• 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, experience in digital marketing, e-commerce, or web analytics tools such as Adobe Analytics or Google Analytics is a plus.

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