Data Analyst

Maersk is a global leader in integrated logistics, and we've been industry pioneers for over a century. Through innovation and transformation, we're 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 organization 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.

Position Summary:

Data Analyst, Data Analytics

Key Responsibilities:

• Team Leadership & Mentorship:

  Lead, mentor, and guide a team of data analysts, fostering their growth and ensuring high performance.
• Oversee the team's workload, prioritize tasks, and ensure timely and accurate delivery of all analytical outputs.
• Promote a culture of continuous learning, collaboration, and data excellence within the team.

• Operational Reporting & Data Analysis:

  Oversee the collection, cleaning, and analysis of large datasets from various sources to deliver actionable insights.
• Ensure accurate understanding and reporting on

  operational metrics and business performance

  , highlighting trends, anomalies, and underlying causes.
• Review and refine interactive and automated Power BI dashboards that visualize key performance indicators (KPIs) and support daily operational needs.
• Guide the development of Excel-based reports for data exploration, quick analyses, and business reviews.

• Power BI & Analytical Tools Implementation:

  Lead the design and implementation of

  Power BI solutions

  using Power Query, Power Pivot, and DAX, ensuring best practices.
• Collaborate strategically with stakeholders to tailor reports and dashboards to evolving business needs.
• Drive the adoption and usage of Power BI across departments by championing user-friendly and insightful visualizations and training initiatives.

• AI Tools & Advanced Analytics:

  Oversee the application of machine learning techniques and AI tools (e.g., Scikit-learn, Azure AI) to extract patterns and trends from complex datasets.
• Guide the development of predictive models to support forecasting, customer behavior analysis, or performance optimization.
• Champion the leverage of AI capabilities to enhance data interpretation and automate insight generation processes.

• Cross-Functional Collaboration & Strategic Support:

  Work closely with stakeholders from operations, marketing, finance, and other teams to

  translate complex business questions into robust analytical solutions

  .
• Provide strategic and operational support by delivering data in a format that is easy to understand, actionable, and drives tangible business outcomes.

• Data Governance & Quality Control:

  Ensure data integrity and consistency through rigorous validation, cleansing, and quality checks across all analytical outputs.
• Lead efforts to maintain compliance with internal data governance and security standards.

• Continuous Improvement & Innovation:

  Continuously refine reporting systems and tools to improve accuracy, usability, and performance across the team.
• Stay up to date with the latest developments in Power BI, Excel, AI tools, and industry best practices, driving their adoption where beneficial.

Required Skills and Qualifications:

• Experience:

  Proven experience in data analysis and operational reporting, with demonstrated leadership or team lead experience.

• Power BI & Excel Proficiency:

  Expert proficiency in

  Power BI

  (Power Query, DAX, Power Pivot) and

  Microsoft Excel

  (advanced formulas, pivot tables, lookups, VBA macros a plus).

• Analytical Mindset:

  Strong analytical mindset with exceptional attention to detail and accuracy in reporting.

• Data Handling:

  Skilled in working with and deriving meaningful insights from large, complex datasets.

• SQL Expertise:

  Strong experience in SQL for data extraction and transformation.

• Programming for Data Analysis:

  Basic to intermediate knowledge of Python or R for data analysis (e.g., Pandas, NumPy, Seaborn).

• Communication:

  Effective communicator, able to present complex data clearly and compellingly to non-technical audiences, including senior leadership.

• Collaboration & Prioritization:

  Strong team player with the ability to work cross-functionally, manage multiple priorities, and delegate effectively.

Preferred Qualifications:

• Exposure to machine learning frameworks and predictive analytics in a production environment.
• Understanding of data governance and data privacy principles, ideally in a global context.
• Prior experience leading or mentoring junior data analysts.

Key Success Metrics:

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

What We Offer:

Maersk offers a tailored onboarding and induction program with access to a wide range of training schemes to support your continuous learning and development. Your success is important to us! You'll also receive an annual bonus based on company performance and access to a fantastic range of wellbeing, mental health support, and financial advice through our Employee Assistance Program. For eligible roles, we offer short-term incentives to recognize and reward outstanding results. While this role is advertised as full-time, we're happy to discuss flexible working options to find a solution that works for you.