Data Analyst

Opportunity

Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence.

At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics.

Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk.

We Offer

A tailored onboarding and induction with access to a wide range of training schemes to help with your learning and development. Setting you up for success is important to us.

An annual bonus based on company performance.

Every colleague at Maersk has access to a fantastic range of wellbeing, mental health support and financial advice through our Employee Assistance Program.

For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results.

Whilst the role is advertised as full-time, we would be happy to discuss possible flexible working options and what that might look like for you.

Job Summary:
We are seeking a numbers-driven Data Analyst with strong proficiency in Power BI and Excel, as well as a solid understanding of AI tools to support our data-driven operations. In this role, you will analyze complex datasets, generate accurate operational reports, and deliver actionable insights that inform strategic and tactical decision-making across the organization.

Key Responsibilities:

Operational Reporting & Data Analysis:

• Collect, clean, and analyze large datasets from various sources to deliver actionable insights.
• Accurately understand and report on operational metrics and business performance, highlighting trends and anomalies.
• Create interactive and automated Power BI dashboards that visualize key performance indicators (KPIs) and support daily operational needs.
• Develop Excel-based reports for data exploration, quick analyses, and business reviews.

Power BI & Analytical Tools Implementation:

• Design and implement Power BI solutions using Power Query, Power Pivot, and DAX.
• Collaborate with stakeholders to tailor reports and dashboards to business needs.
• Drive the adoption and usage of Power BI across departments by creating user-friendly and insightful visualizations.

AI Tools & Advanced Analytics:

• Apply machine learning techniques and AI tools (e.g., Scikit-learn, Azure AI) to extract patterns and trends from datasets.
• Develop predictive models to support forecasting, customer behavior analysis, or performance optimization.
• Leverage AI capabilities to enhance data interpretation and automate insight generation.

Cross-Functional Collaboration:

• Work with stakeholders from operations, marketing, finance, and other teams to translate business questions into analytical solutions.
• Provide strategic and operational support by delivering data in a format that is easy to understand and act on.

Data Governance & Quality Control:

• Ensure data integrity and consistency through rigorous validation, cleansing, and quality checks.
• Maintain compliance with internal data governance and security standards.

Continuous Improvement & Learning:

• Continuously refine reporting systems and tools to improve accuracy, usability, and performance.
• Stay up to date with developments in Power BI, Excel, AI tools, and industry best practices.

Required Skills and Qualifications:

• Proven experience in data analysis and operational reporting.
• Proficient in Power BI (Power Query, DAX, Power Pivot) and Microsoft Excel (advanced formulas, pivot tables, lookups, etc.).
• Strong analytical mindset with attention to detail and accuracy in reporting.
• Skilled in working with large datasets and deriving meaningful insights.
• Experience in SQL for data extraction and transformation.
• Basic to intermediate knowledge of Python or R for data analysis (e.g., Pandas, NumPy, Seaborn).
• Effective communicator able to present data clearly to non-technical audiences.
• Team player with the ability to work cross-functionally and manage multiple priorities.

Preferred Qualifications:

• Exposure to machine learning frameworks and predictive analytics.
• Understanding of data governance and data privacy principles.

Key Success Metrics:

• Timely and accurate delivery of operational and business-critical reports.
• Clear and actionable data insights that drive process improvements and better decision-making.
• Enhanced adoption of Power BI and Excel-based reporting tools across business units.

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.