Ocean Freight Pricing Specialist - Americas

Charlotte, NC, United States

DP World

DP World is a world leader in logistics management services. We ensure future viability of global international trade & prosperity of communities around the world

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We are the leading provider of worldwide smart end-to-end supply chain & logistics, enabling the flow of trade across the globe. Our comprehensive range of products and services covers every link of the integrated supply chain – from maritime and inland terminals to marine services and industrial parks as well as technology-driven customer solutions.

We are seeking a highly analytical and detail-oriented Ocean Freight Pricing Specialist to support the development and implementation of Index-Linked Pricing and Dynamic Pricing strategies for our Ocean Freight Product. The ideal candidate will play a pivotal role in collecting, analyzing, and structuring historical freight rate data and relevant market variables, enabling us to create innovative pricing models. This role involves collaboration with multiple stakeholders to monitor performance, manage risk exposure, and promote these advanced pricing solutions to customers.

This is an excellent opportunity for a junior professional with a background in Mathematics, Statistics, or Analytics who is eager to work in a dynamic environment and grow within the logistics industry.

 

KEY ACCOUNTABILITIES

Data Analysis & Model Development

  • Collect and maintain historical ocean freight rate data from internal and external sources
  • Identify and analyze independent variables affecting freight rates, such as capacity supply, economic demand, fuel prices, and geopolitical factors
  • Develop mathematical and statistical models to establish and refine Index-Linked Pricing and Dynamic Pricing frameworks
  • Create tools and dashboards to automate data analysis and pricing updates

Pricing Strategy & Performance Monitoring

  • Design a structured approach to buying and pricing Index-Linked products in collaboration with the Ocean Procurement team
  • Continuously monitor the performance of pricing strategies and identify areas for improvement
  • Track and report on pricing exposure, ensuring alignment with business goals and market conditions
  • Recommend adjustments to pricing models based on market trends and risk analysis

Collaboration & Communication

  • Partner with the Marketing team to develop campaigns and materials that highlight the benefits of Index-Linked Pricing and Dynamic Pricing for customers
  • Work closely with the Commercial team to train sales personnel on pricing models and assist in their adoption and implementation
  • Act as a key point of contact for questions related to pricing structures and their market impact

Innovation & Continuous Improvement

  • Stay informed about industry trends, competitor pricing strategies, and emerging technologies in pricing analytics.
  • Recommend and implement process improvements to enhance pricing agility and competitiveness.

 

QUALIFICATIONS, SKILLS AND EXPERIENCE

Required:

  • Bachelor’s degree in Mathematics, Statistics, Data Science, Analytics, Economics or a related field
  • Strong analytical skills and experience working with large datasets
  • Proficiency in data analysis tools such as Excel, Python, R, MS PowerBI, or similar
  • Familiarity with statistical modeling, forecasting techniques, and risk management
  • Exceptional attention to detail and problem-solving abilities
  • Strong communication skills, with the ability to present complex data in an understandable format

Preferred:

  • Prior experience in logistics, freight forwarding, or supply chain management
  • Knowledge of ocean freight markets, pricing dynamics, and procurement processes
  • Experience with data visualization and business intelligence tools (e.g., Power BI, Looker)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Business Intelligence Data analysis Data visualization Economics Excel Industrial Looker Mathematics ML models Power BI Python R Statistical modeling Statistics

Region: North America
Country: United States

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