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求人Maersk

Network Analytics Engineer

Maersk

Network Analytics Engineer

Maersk

Denmark, Copenhagen, 1098

·

On-site

·

Full-time

·

3w ago

Maersk connects people, businesses and markets across the world. You will join a team that builds and strengthens the analytical and optimization foundation behind our global network planning. We use data, modelling 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 and value 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

To work at Maersk is to step 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. Here, your growth truly matters. 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 the contributions you make. And with flexible hybrid working and industry‑leading benefits, you’ll have the freedom and support to thrive—professionally and personally.

In your responsibilities, you will:

  • Support key operational and strategic planning activities by preparing, analysing 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

You will be accountable for:

  • High quality planning deliverables that support operational and strategic decisions
  • Strong data integrity across planning inputs and outputs
  • A prioritised 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 toward more automated and scalable planning workflows

What you bring:

  • A master’s degree or PhD in engineering, mathematics, computer science or a related quantitative field with exposure to optimization or modelling
  • Strong Python and SQL skills for analytics, modelling and data sourcing
  • Understanding of modelling 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 to build strong working relationships that support clear communication, shared problem solving and aligned decision making
  • Discipline in testing, documentation and data quality assurance

Ready to 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!

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.

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Maerskについて

Maersk

Maersk

Public

A.P. Møller – Mærsk A/S, usually known simply as Maersk, is a Danish shipping and logistics company founded in 1904 by Arnold Peter Møller and his father Peter Mærsk Møller.

10,001+

従業員数

Copenhagen

本社所在地

$30B

企業価値

レビュー

3.5

10件のレビュー

ワークライフバランス

3.8

報酬

3.2

企業文化

3.5

キャリア

2.8

経営陣

3.3

68%

友人に勧める

良い点

Great place to learn and grow

Good work-life balance and flexibility

Amazing benefits and opportunities

改善点

Limited career advancement and growth

Management and micromanagement issues

Frequent company restructuring

給与レンジ

41件のデータ

Mid/L4

Mid/L4 · Business Intelligence Engineer

1件のレポート

$184,600

年収総額

基本給

$142,000

ストック

-

ボーナス

-

$184,600

$184,600

面接体験

44件の面接

難易度

3.4

/ 5

期間

14-28週間

内定率

34%

体験

ポジティブ 63%

普通 25%

ネガティブ 12%

面接プロセス

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

よくある質問

Technical skills

Past experience

Team collaboration

Problem solving