Food, machinery or T-shirts: Hapag-Lloyd moves goods around the globe with over 250 container ships. We connect more than 600 ports on all continents and are one of the largest liner shipping companies. More than 13,000 employees work on board, ashore or in one of our 350 offices. Together, we transport around 12 million containers per year. Our corporate values "We care. We move. We deliver" serve as coordinates on our way. They guide our collaboration with each other as colleagues and with our customers to achieve the best possible quality. In the long run, we are committed to climate and environmental protection as well as human rights and many other social issues.

As Business Intelligence & Analytics team data is our passion. We support our colleagues across the globe to take data-driven decisions, spot further opportunities to turn Hapag-Lloyd into a data leader and bring new data products to our customers. Together, we collaborate, prototype, innovate, build, and share. The Operations and Logistics group focuses on the flow of containers across land and oceans by all modes of transport. Tricky details in the global supply chains are our motivation to provide a basis for tactical and strategical business steering decisions.

Your responsibilities:

As part of our team, you will:

  • Make a difference: Work with colleagues across Hapag-Lloyd (e.g., Operations, Transshipment, Global Inland Centers, Cargo Control, and Networks) to ensure they have all decision-critical data and act as a sparring partner for them to generate data-based insights
  • Take ownership: Identify and challenge data and analytics opportunities and drive their implementation
  • Have impact: Take over responsibility in international, cross-functional projects to ensure that every strategic initiative at Hapag-Lloyd is designed with data in mind
  • Build bridges: Be in constant exchange with the business teams, our data scientists, and the IT teams to translate business requirements into user stories for implementation
  • Create transparency: Develop and automate regular reports with modern visualizations and meaningful dashboards
  • Innovate: While our containers with IoT devices generate data, you ideate, iterate and build new data solutions. You test data science elements, such as ML/AI and shape the way towards digitalization

Your profile:

  • You hold a university degree (ideally focused on business administration, logistics or business informatics)
  • You are excited about applying your technical and analytical expertise to the world of global logistics
  • You have a track record of successfully analyzing data and combining operational and commercial domains – ideally in the maritime or logistics environment
  • Experience in project and process management is a plus
  • You present results to your team and our business stakeholders in a concise and convincing way
  • Your way of working is assertive, goal-oriented and pragmatic – as a team player you appreciate a close collaboration throughout your team and in international project groups
  • Next to excellent skills in Microsoft Excel and PowerPoint, you are interested in advancing your knowledge of BI tools like Qlik, Tableau, Power BI or Alteryx Alternatively, you are experienced in common analytics programming languages such as Python, R or Scala
  • Excellent command of spoken and written English completes your profile

German language expectations: We expect all international candidates to be willing to learn at least the basics of the German language in case they are accepted for the position. This will enable you to participate in social and community life in Germany and at our company premises in the best possible way.

We offer:

  • A challenging and fun, impactful and empowering place to work
  • Individual development opportunities including conferences, trainings and team-internal learning sessions
  • Competitive remuneration (thirteenth salary + vacation pay), as well as a permanent employment contract
  • A minimum of 28 days of vacation, flexible working hours, capital-forming benefits, company pension plan
  • Centrally located between the main train station and Jungfernstieg as well as subsidy for public transportation
  • Blended work model that offers you the possibility of working from our headquarters (3 days/ week) or working from home (2 days/ week)
  • Bicycle leasing
  • Health and company sports programs (e.g. yoga, sailing, company doctor, etc.)

We offer the possibility to work full- or part-time. If you are interested in a part-time position, please share the preferred number of weekly working hours in your application. 

Save time with your application and send us only your CV for now. Please use our online tool to forward your application. 

We ask staffing consultants and recruiting firms to refrain from sending us unsolicited profiles and CVs of potential candidates for this or other positions advertised on our website.

Contact person

Kristin Peters Managerin Talent Acquisition & Employer Branding