Platform Business Analyst

The Opportunity

Maersk is a global leader in integrated logistics, on a mission to connect and simplify our customers' supply chains. The Asset Strategy Platforms team sits at the heart of this mission, building and operating data-driven platforms that power strategic decisions across Maersk's asset base.

We are a cross-functional team that brings together business analytics, platform product thinking, and cutting-edge data technologies to unlock value at scale.

We are on an exciting journey toward AI-enabled platforms — simultaneously investing in getting our data foundations right while building toward intelligent, forward-looking capabilities that support better decisions for our customers and operations. You will join us at this inflection point.

We are looking for a Platform Data Analyst to join the Asset Strategy Platforms team in Copenhagen. This is a role for someone who is ready to move beyond academic or early-career work and contribute meaningfully to a cross-functional product analytics team — with guidance, structure, and room to grow.

You will work alongside senior analysts and platform product owners to support the measurement, analysis, and improvement of platform products that power Maersk's asset and supply chain operations. You will be embedded in a team that will invest in your development, and you will be expected to take real ownership of defined deliverables from day one.

What You Will Be Doing

Working under the direction of senior analysts and platform product owners, you will:

• Build, maintain, and document Power BI dashboards and reports that track platform product performance and adoption metrics across internal stakeholder groups
• Extract, clean, and analyse data from large-scale operational data sources (including customer orders, execution data, and logistics transactions) to support defined analytical tasks and recurring reporting cycles
• Support the design and execution of benefit estimation and validation exercises for platform features, under guidance from senior team members
• Contribute to experiment design and A/B testing by preparing data, validating outputs, and documenting findings
• Write and maintain SQL queries and Python scripts for data extraction, transformation, and exploratory analysis within the team's Azure cloud data environment
• Translate analytical findings into clear summaries and visualisations for product and business stakeholders, with support on framing and communication
• Participate in backlog refinement and analytics prioritisation discussions, contributing structured problem descriptions and supporting workload estimates
• Learn and apply the team's standards for data quality, documentation, and analytical methodology

What We’re Looking For

Education

A degree in Mathematics, Statistics, Data Science, Engineering, Computer Science, Economics, or a related quantitative field

Experience

• 1–3 years of experience in a data analyst, business analyst, or similar role — either in industry or in a structured internship or student assistant capacity
• Hands-on experience with SQL for data extraction and analysis
• Experience building reports or dashboards in Power BI or a comparable visualisation tool
• Working knowledge of Python or R for data manipulation and analysis
• Familiarity with cloud data environments, particularly Azure (Databricks or Synapse exposure is a plus)

Working Here

This role is based in Copenhagen and sits within the Asset Strategy Platforms team, working closely with Product, Engineering, and Business stakeholders.

You will be part of a collaborative, development-focused environment where you will be supported in growing your analytical capability while contributing to high-impact platform initiatives across Maersk.

Maersk is committed to a diverse and inclusive workplace and welcomes applicants from all backgrounds.

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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