Quantitative Product Analyst – Pricing Algorithms

Why Join Us?

Join a pioneering team that’s reshaping the future of global Ocean logistics. At the intersection of technology, data, and strategic decision-making, you'll have direct impact—transforming how we price, operate, and innovate at scale. Your analyses won't just influence products; they'll steer business-critical decisions, driving measurable commercial impact. Expect high visibility, rapid learning, and collaborative colleagues deeply committed to growth, experimentation, and responsible scaling. Be part of the journey where your insights fuel smarter, faster, and more confident global logistics decisions.

About The Role

We’re looking for a structured, curious, and impact-driven Quantitative Product Analyst to join our Product team working on dynamic pricing in global Ocean logistics. You’ll help us measure and improve the real-world performance of our pricing algorithms—from bookings and revenue to customer behaviour and internal trust.

This is a hands-on, high-exposure role ideal for someone early in their career with strong foundations in quantitative methods. We welcome candidates from diverse applied backgrounds—including marketing measurement (incremental ROAS, geo-lift, MMM), energy or volatility trading (e.g., power/commodity/financial option markets), and economic evaluation. If you enjoy bringing clarity to complexity, structuring ambiguous problems, and informing decision-making through data, this role is definitely for you.

What you'll be doing:

• Partner with product managers and data scientists to define success metrics and develop robust evaluation frameworks for algorithmic pricing models.
• Analyze production data to assess commercial impact across bookings, revenue, and customer behaviour.
• Design and interpret experiments and quasi-experiments (e.g., A/B testing, synthetic control, difference-in-differences) to evaluate pricing and product changes.
• Help develop dashboards, alerts, and performance tracking tools for algorithm monitoring.
• Communicate findings clearly across technical and non-technical audiences to influence product and commercial decisions.
• Work closely with pricing, commercial, and analytics teams to ensure performance metrics are aligned with strategic objectives.
  
  

To succeed in this role, we believe that you can offer:

• Bachelor’s or Master’s degree in a quantitative field (e.g., Economics, Engineering, Statistics, Applied Math, Computer Science, or Energy Systems)
• 3–7 years of experience in a data-intensive or modeling-heavy role (e.g., marketing analytics, trader, data analyst, pricing analyst, or economist)
• Proficiency with Python and SQL; ability to manipulate and analyze large datasets
• Familiarity with causal inference methods, experimental design, and time-series analysis
• Strong analytical thinking, business acumen, and communication skills
  
  

Preferred Backgrounds:

We welcome a range of applied experience, some examples include:

• Marketing measurement, such as media mix modelling (MMM), geo-experimentation, or incremental ROAS analysis
• Energy or volatility trading, including demand forecasting and pricing under uncertainty
• Quantitative economics, especially with experience in policy impact evaluation, structural modelling, or applied econometrics
  
  

If you are ready to take on this challenge and make a tangible difference, let's connect. We're excited to see what you’ll bring to the team!

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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