With a fleet of 264 modern container ships and a total transport capacity of 2.0 million TEU, Hapag-Lloyd is one of the world's leading liner shipping companies. In the Liner Shipping segment, the Company has around 13,500 employees and 400 offices in 135 countries. Hapag-Lloyd has a container capacity of 2.9 million TEU – including one of the largest and most modern fleets of reefer containers. A total of 113 liner services worldwide ensure fast and reliable connections between more than 600 ports across the world. In the Terminal & Infrastructure segment, Hapag-Lloyd has stakes in 20 terminals in Europe, Latin America, the United States, India, and North Africa. The roughly 2,600 employees assigned to the Terminal & Infrastructure segment handle terminal-related activities and provide complementary logistics services at selected locations.

• You will support our team with creating and standardizing data models and analysis about our EDI and API performances.
• You will roll out your created tools to the team and safeguard that all colleagues can work with the tool well.
• In addition, you will create data analytics and a graphical representation of your findings to discuss and present them.
• You support the team in the development of automation workflows and thus contribute positively to the Ease of Doing Business with Hapag-Lloyd for the Top 50 customers.
• You not only work on the creation of analytics but also help to analyze the findings and
  create solutions to project related questions and issues.
• You support the team with planning, steering and execution of projects.
• Your team is always by your side, but you are responsible for your own tasks.

• You are currently studying full time in one of the following fields: Data Science, IT, Engineering, Logistics, or a comparable field.
• SQL is more than just letters and when you here Python you don't only think about snakes.
• If you enjoy analyzing processes and helping to automate them with the help of digital solutions, then you've come to the right place.
• Additionally, you already have a good analytical foundation and have fun working with large amount of data.
• Experience with BI tools (e.g. QlikSense, Tableau) are an advantage.
• You can communicate well in English language (both written and verbal).

• Be a part of our Student community: meet other students and exchange ideas during our Student Lunch & Coffee Breaks
• If flexibility is important to you: choose the working hours that best fit your college schedule
• Work with us directly in the heart of Hamburg at the Binnenalster or mobile at home
• Of course, we also take care of your physical well-being: in our company restaurant we offer yummy dishes for small and large appetites
• Take part in our company sports activities such as table tennis, dragon boat racing and yoga. And if you're in the mood for music, why not join our band?
• Attractive training programs and excellent career opportunities complete your experience