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.

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.
• Use Object-Oriented programming to improve data features and extract data.
• Learn and maintain current customer facing data products.
• Communicate with stakeholders of different degrees of technical background (Finance, Operations, Support…) and create the bridge between the technical implementation and the business operations.
• 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.