Working Student - Data Science & Business Intelligence
Role details
Job location
Tech stack
Job description
Office, Garching near Munich, Germany | Approx. 20h/week | 1-year contract | Flexible hours
Are you a curious and motivated student who enjoys solving complex problems with data? We are looking for a Working Student to support our Data Analytics team in developing innovative solutions for the logistics and distribution sector.
In our team, we use data to improve transportation and warehousing processes through descriptive, predictive, and prescriptive analytics. While the team is small, we drive a wide range of impactful projects that directly support global operations.
This role is a unique mix of Data Science and Business Intelligence. You will gain hands-on experience in both building predictive models and designing intuitive dashboards that bring insights to life for business users.
What you will be doing:
- Data Science: Support the development of models for forecasting and optimization in logistics use cases.
- Business Intelligence: Build clear and engaging BI dashboards (mainly in Power BI) to communicate insights.
- Data Analysis: Work with our Data Engineer to access, clean, and analyze large datasets.
- Problem-Solving: Translate business challenges into data-driven solutions in close collaboration with the team., With us, you'll inspire others to embrace the joy of sports while connecting with a global network of passionate individuals. We foster a dynamic and supportive culture that empowers you to innovate, grow professionally, and pursue your passion for both sports and the outdoors.
- Smooth transition: Benefit from a comprehensive onboarding program designed to help you integrate seamlessly into our organization.
- Work-life balance: Enjoy flexible working hours (approx. 20h/week), making it easy to balance your studies and career.
- Active lifestyle: Embrace a healthy lifestyle with a wide range of sports opportunities and access to our on-site gym.
- Compact teams, big impact: Experience the trust and responsibility that come with working in our team setup within a global company, where your contributions to real-world logistics and distribution projects truly matter.
- Collaborative excellence: Join a supportive team environment where your ideas are valued, collaborating with experienced data professionals who provide mentorship and guidance in data science and data visualization.
- World-leading brands: Engage with our iconic sport and outdoor brands that help people reconnect with themselves and nature.
- Shared passion for sports and the outdoors: Fuel your passion for sports and outdoor activities, inspired by our athletes, products, and the pride we take in our work.
- Future opportunities: Successful performance in this role could serve as a strong stepping stone toward a potential full-time position in the future.
Our Candidate-Centric Hiring Process:
At Amer Sports, we strive to make our hiring process seamless and engaging. Every CV is reviewed by real people, not AI, so your application receives the attention it deserves. Here's what you can expect:
- CV Screening
- Phone Screening
- Interview with our recruitment team
- Feedback & Decision
Requirements
Do you have experience in Python?, Do you have a Master's degree?, * Currently enrolled in a Master's program in Computer Science, Data Science, Statistics, Business Informatics, Applied Mathematics, or a related field.
- Solid programming foundation, ideally with Python and SQL.
- Knowledge of or strong interest in forecasting techniques (e.g. time series analysis).
- Experience with BI tools, preferably Power BI.
- A pragmatic, hands-on mindset: willing to work on tasks ranging from predictive modeling to dashboard creation.
- Analytical curiosity combined with strong communication skills and the ability to explain results clearly to non-technical stakeholders.
