Ops Excellence Business Intelligence Intern – Operational Excellence.
Would you like to be part of a value-driven, commercially oriented international environment where we enable global trade every day? As part of Maersk’s Operational Excellence team in West Africa, you will help transform warehouse operations through data-riven insights, automation, and digital tools. You’ll bridge the gap between field operations and analytics, turning raw data into actionable information, simplifying manual processes, and supporting continuous improvement projects. Your mission: make data speak for the operations.

What we offer
When you join Maersk, you’ll find that the world is your workplace. You’ll work in a culturally diverse, stimulating environment, surrounded by new ideas and different ways of doing things. We believe in individual performance within highly professional teams supported by our distinctive values. To us teamwork means acceptance, respect, dedication, and the idea that we can achieve more when we all pull together. Living our values means competing in the marketplace in an ethical way so our name is synonymous with being a credible and valuable business partner. Through Constant Care and Humbleness, we strive to prepare for the future, while never forgetting that our customers and competitors are key to our ability to improve. In our daily work Uprightness and Our Employees mean that transparency and accountability in everything we do go hand in hand with being an inspiring, challenging place to work. At Maersk, we take pride in hiring the best person for the job – irrespective of gender, age, nationality, or religious belief.

Key responsibilities
Data Collection, Cleaning & Structuring
• Retrieve data from multiple internal sources (WMS, ERP, Excel files, internal databases).
• Clean and normalize datasets: remove duplicates, handle missing values, and ensure consistency in formats and definitions.
• Document data flows and metadata to ensure traceability and standardization across countries.

Exploratory Analysis & Modeling
• Analyze operational data to identify trends, anomalies, and bottlenecks in logistics flows (storage, picking, dispatch, returns).
• Develop dashboards and visualizations showing key performance indicators: productivity, error rates, lead times, cost per unit, service levels.
• Apply statistical or mathematical methods (simple regressions, clustering, time series, functions) to better understand operational phenomena.
Process Automation
• Write scripts or small applications/macros to automate repetitive manual tasks (data cleaning, report generation, automatic email updates, etc.).
• Use tools such as Python, VBA, or equivalent, and develop light front-end interfaces using HTML or Java when needed.
• Document automation logic and maintain scripts for long-term use.

Internal Tools & Application Development
• Create or contribute to internal applications using Power Apps, Power Automate, or other low-code tools to digitalize processes (data collection, workflow tracking, approvals, etc.).
• Ensure proper integration of these tools with existing systems, including potential API connections.
Reporting & Dashboards
• Build and maintain Power BI dashboards for operational, excellence, and management stakeholders.
• Prepare regular and ad hoc reports highlighting analytical results, trends, and recommendations.
• Set up automated data refreshes and alerts for critical KPIs.
Communication & Knowledge Sharing
• Present analytical findings to non-technical stakeholders, clearly explaining the operational implications.
• Document scripts, processes, and dashboards to enable easy understanding and maintenance.
• Share knowledge and contribute to building a data-driven culture within the regional team.
• Include links to any personal or academic projects demonstrating your technical skills (GitHub, Power BI, portfolio, etc.).

Who we are looking for
Someone with:
• Master’s degree in mathematics, Applied Statistics, Data Science, or related field (mandatory).
• Strong background in mathematical reasoning, modeling, and data analysis.
Technical proficiency in:
• Python(Pandas), VBA, HTML, Java(Optional)
• Power BI, Power Apps, Power Automate, Power Query
• Advanced Excel (pivot tables, forecasting)
• SQL
• Experience through internships, academic projects, or personal initiatives in analytics or process improvement.
• Bilingual in French and English (spoken and written).
• Methodical, detail-oriented, and proactive, with the ability to link numbers to real-world operations.
• Strong analytical mindset, comfortable with numbers and logic.
• Comfortable working in multicultural, fast-paced environments.
• Curious, adaptable, structured, and willing to engage with field teams.
• Basic understanding (or interest to learn) in: Process Mapping / Process Mining (e.g., Disco, Celonis, Power BI Process Mining visuals), Lean / Continuous Improvement fundamentals

What We Expect
• Reliability, rigor, and curiosity in handling and interpreting data.
• Capacity to translate complex operational problems into simple analytical models or digital tools.
• A solution-driven mindset: not just dashboards, but actions and improvements.
• Autonomy in coding and a passion for optimizing how data supports performance.
• Tangible outputs, your work should live on (scripts, dashboards, apps) beyond your internship.
What You’ll Gain
• Direct exposure to warehouse and supply chain operations across West Africa.
• Real impact on performance improvement and process automation initiatives.
• Mentorship from both data experts and field operational leaders.
• Practical experience at the intersection of logistics, mathematics, and technology.
• A strong foundation for a future career in data, operations, or excellence transformation.

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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.