Offer summary
Qualifications:
Motivated and driven individual, Familiarity with SQL and Python, Interest in data analytics, None.Key responsabilities:
- Design and maintain data pipelines
- Analyze data to support decision-making
This is a rare opportunity - the type of internship that just doesn’t come round very often. If you’re looking to gain experience in the world of data-analytics, international business, innovation and technology, then this is for you.
We are now looking for a highly motivated intern to join our Amsterdam-based team in our efforts to make the world a healthier and fitter place.
During this exciting 6-month internship, you will support one of our awesome innovations in which we are using the data generated by millions of app-users. You’ll be challenged in a fast moving environment with exceptional learning opportunities. You’ll be a respected member of the team, and have the opportunity to deliver your own project. In addition, you’ll work closely with the data and analytics departments, getting the chance to develop a range of professional skills and expertise. So if you’re confident, ambitious and driven by results, then we’d love to have you on board.
What It’s All About
During your BI / Data Engineering Internship, you will be involved in the following activities:
Design, build, and maintain data pipelines, databases, and data processing systems to support the extraction, transformation, and loading (ETL) of data from a variety of sources.
Use SQL, Python, or other programming languages to manipulate and analyze data.
Create value out of the data generated by hundreds of employees, thousands of clients and millions of consumers
Support strategic decision-making by providing the data-driven insights to crucial business questions
Translate complex datasets into actionable business insights
Use state of the art BI-software to create stunning visualizations
Work closely with different departments to coordinate effective use of data to optimize operations.
Implement data governance and privacy standards across various data sources and platforms.
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