
Network Analytics Engineer
A.P. Moller - Maersk · Copenhagen, Capital Region of Denmark, Denmark
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- On site
- Full-time
- $120,000 / year
- Copenhagen, Capital Region of Denmark, Denmark
Job highlights
- Optimize global container flow using data and algorithms.
- Develop analytical solutions for operational decisions.
- Collaborate across diverse international teams.
- Shape future of network planning and optimization.
- Gain growth and learning opportunities.
About the role
About the Role
Join a team that builds and strengthens the analytical and optimization foundation behind Maersk's global network planning. We leverage data, modeling, and advanced optimization algorithms to support better operational and strategic decisions. We are a diverse, international community where different backgrounds, perspectives, and experiences make us stronger. We work openly and collaboratively, valuing curiosity, clarity, and shared ownership.
Ready to help shape the future of Maersk’s planning and optimization engine? You will work on container flow optimization challenges that influence how goods move across our global network. You will help simplify complex logic, improve the quality of decision inputs, and contribute to a more automated and reliable planning experience. You will grow alongside colleagues who enjoy solving analytical problems and continuously improving how we plan our network.
What We Offer
Working at Maersk means stepping into a world of opportunity and impact. You’ll collaborate with talented professionals who keep global trade moving—shaping the flow of goods, ideas, and possibilities across the planet. Your growth truly matters here. With access to world-class learning, supportive leaders, and space to stretch your potential, you can build a career that takes you further than you imagined. You’ll be part of a diverse, inclusive community where you’re valued for your unique strengths and celebrated for your contributions. With flexible hybrid working and industry-leading benefits, you’ll have the freedom and support to thrive—professionally and personally.
Responsibilities:
- Support key operational and strategic planning activities by preparing, analyzing, and reviewing planning outputs.
- Strengthen routing and container flow logic through targeted quantitative analysis grounded in optimization models and algorithms.
- Identify data or logic gaps and propose improvements that raise planning accuracy and reduce manual work.
- Provide clear analytical insights that help planners understand outcomes and make informed decisions.
- Maintain and refine small scripts that improve recurring metrics and reporting.
- Translate planning needs into well-defined user stories and acceptance criteria.
- Collaborate with planning, equipment, finance, and technical teams to align inputs and assumptions.
- Communicate findings in a structured way and convert feedback into actionable enhancements.
- Support testing and sign-off of new analytical features.
- Document updates to logic and processes in a clear and accessible format.
Accountabilities:
- High-quality planning deliverables that support operational and strategic decisions.
- Strong data integrity across planning inputs and outputs.
- A prioritized and well-prepared backlog of analytical improvements.
- Accurate reporting of planning and performance metrics.
- Clear communication that supports alignment and timely decisions.
- Successful user acceptance of new features.
- Continuous improvement in planning quality and reduced manual adjustments.
- Progress towards more automated and scalable planning workflows.
Qualifications:
- Master's degree or PhD in engineering, mathematics, computer science, or a related quantitative field with exposure to optimization or modeling.
- Strong Python and SQL skills for analytics, modeling, and data sourcing.
- Understanding of modeling and optimization principles and how algorithms support real planning problems.
- Ability to convert planning needs into clear user stories and acceptance criteria.
- Analytical strength to validate logic and troubleshoot issues.
- A proactive mindset with structured, clear communication.
- Ability to collaborate smoothly across diverse functions and build strong working relationships that support clear communication, shared problem-solving, and aligned decision-making.
- Discipline in testing, documentation, and data quality assurance.
Join Us!
If you want to shape the next generation of operational planning and container flow optimization at Maersk, and enjoy delivering analytical solutions with real impact, we would be excited to connect with you!
Diversity and Inclusion:
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.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
Key skills/competency:
- Network Analytics Engineer
- Data Analysis
- Optimization Modeling
- Container Flow
- Python
- SQL
- Strategic Planning
- Quantitative Analysis
- Algorithm Development
- User Story Creation
Skills & topics
- Network Analytics Engineer
- Data Analysis
- Optimization
- Container Flow
- Python
- SQL
- Supply Chain
- Logistics
- Quantitative Analysis
- Modeling
How to get hired
- Tailor your resume: Highlight Python, SQL, and optimization modeling experience.
- Showcase analytical projects: Detail your experience with data analysis and logic validation.
- Emphasize collaboration: Demonstrate ability to work with diverse teams.
- Prepare for technical interviews: Brush up on algorithms, data structures, and problem-solving.
- Research Maersk: Understand their global logistics and impact.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills for the Network Analytics Engineer role at Maersk?
- The Network Analytics Engineer role at Maersk requires strong Python and SQL skills for analytics, modeling, and data sourcing. Proficiency in understanding modeling and optimization principles, and how algorithms support planning problems is crucial. Analytical strength for validating logic and troubleshooting is also essential.
- What is the expected educational background for this Network Analytics Engineer position?
- Maersk typically looks for candidates with a Master's degree or PhD in engineering, mathematics, computer science, or a related quantitative field. Exposure to optimization or modeling is a key requirement for this role.
- How does Maersk support professional growth for Network Analytics Engineers?
- Maersk offers world-class learning opportunities, supportive leadership, and space to grow. Network Analytics Engineers can build careers that take them further, with a focus on continuous improvement and developing expertise in planning and optimization.
- What is the work arrangement for the Network Analytics Engineer role at Maersk?
- The job description mentions flexible hybrid working, indicating a hybrid work arrangement for the Network Analytics Engineer position at Maersk.
- How can I apply for the Network Analytics Engineer job at Maersk if I need an accommodation?
- If you require special assistance or accommodation to use the Maersk website or apply for the Network Analytics Engineer position, please contact them directly by emailing accommodationrequests@maersk.com.
- What kind of impact can I expect to make as a Network Analytics Engineer at Maersk?
- As a Network Analytics Engineer at Maersk, you will directly influence how goods move across their global network by optimizing container flow and improving planning logic. Your work will contribute to a more automated, reliable, and efficient global trade system.
- What is the importance of collaboration in this Network Analytics Engineer role?
- Collaboration is vital for the Network Analytics Engineer at Maersk. You will work closely with planning, equipment, finance, and technical teams to align inputs and assumptions, ensuring clear communication and shared problem-solving for aligned decision-making.