Data Analyst Student Assistant
WhiteAway Group
Do you want hands-on experience working with data and learning how insights are created in practice? At Whiteaway Group, we’re looking for a student assistant to join our Advanced Analytics team and support data-driven decision making across the business.
Your tasks will include:
- Assisting the team in exploring AI and machine learning solutions, including predictive models and advanced analytics initiatives,
- Take part in preparing analyses/visualizations for our stakeholders,
- Helping build and maintain data pipelines,
- Documenting processes and learnings for the team.
The job
- 10–15 hours per week, with flexibility during exams
- A great chance to learn by working side-by-side with experienced data scientists and data engineers
Your profile
- You’re currently studying a bachelor’s or master’s degree within data science, computer science, economics, or similar with some background in Machine Learning or statistical modeling,
- You have some Python and/or SQL experience and want to learn more,
- You’re curious about data, structured in your way of working, and not afraid to ask questions,
- You bring a “can-do” attitude and enjoy working with others.
About Whiteaway Group
Whiteaway Group started with a simple idea, a commitment to our customers, and a passion for digital innovation. Today, we’re a successful retailer, selling and delivering household appliances across Scandinavia. We’re change-makers at heart - it’s the core of everything we do.
We’re committed to creating an inclusive environment for all employees, and we like to think we have quite an amazing workplace, including:
- A dynamic and international environment with room for you to be you
- Lots of opportunities for professional development and making an impact
- A flat, informal organisation with a high degree of independence and short decision-making processes
- A social student network across the entire organisation
- Flexible work hours, health care, lunch scheme, Friday breakfasts, access to our gym, and plenty of fun social events
Department: 453 Advanced Analytics
Location: Dusager 12, 8200 Aarhus N
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