Director, Revenue Optimisation
Found in: Talent SG C2 - 1 week ago
Director, Revenue Optimisation - L4b
Full Time Singapore Leadership Role 4/11/24 About Hapag-Lloyd
With a fleet of 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, employees and offices in 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 liner services worldwide ensure fast and reliable connections between more than 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, 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
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