About Hapag-Lloyd
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.

Function and Duties

  • Drive the highest levels of quality towards our customers, be customer-oriented and create value for customers as well as for Hapag-Lloyd
  • Drive performance with the Areas by exceeding Quality promises and KPI deliverables
  • Pricing excellence, e.g. FAK and PRIA
  • Revenue Management projects e.g. RAPP and ACCT, Unrated shipments, D&D etc.
  • Tariff maintenance (Inland only)*
  • Local surcharge maintenance
  • Freight & NAC audit coordination & follow up
  • Non-manifested rebates
  • D&D improvement
  • Quotation and RA quality monitoring
  • Cargo and customer mixing
  • Participate in RPM (Regional Performance Management calls) and coordinate actions with the Area accordingly
  • Data analysis for Revenue Optimization

Qualifications and Technical Job Requirements

  • University degree or several years of experience performing quantitative business analysis with a background in either revenue management or analytical function
  • Strong analytical skills and mathematic proficiency, to include advanced statistics and probability modelling, as well as linear algebra. 
  • Mastery of analytical tools, including spreadsheet modeling, Microsoft Access or other database software, statistical analysis tools (e.g., SAS, SPSS), and familiar with AI-powered analytics tools.
  • Understanding of network economics, business models, and pricing / RM methodologies
  • Ability to think quantitatively, quickly analyze reports and data to prioritize opportunities
  • Comfortable processing data and drawing actionable conclusions to move forward
  • Able to drive consensus among key stakeholders with diverse needs and interests
  • Demonstrates well developed influencing skills
  • Experience with HL front line processes and digital tools 
  • Good communication skills and command of spoken and written English to converse with stakeholders around the Region. 

Contact person

Leonard Leong