APPRENTICESHIP - Financial Data Analyst

Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.

Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050. Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.

Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.

YOUR MISSIONS

Within the financial data management service of the CMA-CGM group, your main mission will be to harmonize datamarts methodologies between the group's business units, identify available data and its location, and maintain high-quality data.

YOUR RESPONSIBILITIES

1. You bring your expertise in Datamarts.
2. You create training materials and deliver training sessions to address gaps.
3. You identify data and work closely with the Finance Datamarts product owner to provide precise and clear answers to data identification/location questions.
4. You identify and eliminate bottlenecks enabling the team to adhere to roadmaps, improve turnaround times, increase data availability, and maintain high data quality.
5. You ensure readiness for expanding data initiatives, such as connecting new systems to the Finance Datamarts and expanding the scope beyond the Shipping business unit.

WHO ARE WE LOOKING FOR?

1. You are currently pursuing a higher education degree (Bachelor’s to Master’s level) in Computer Science or a related field.
2. Understanding of data management and high-level awareness of business intelligence tools.
3. Understanding of data analysis and data modeling concepts.
4. Programming skills (SQL, Python, etc.).
5. Intermediate level of English (reading, writing + interactions with English-speaking colleagues).
6. Curious, proactive, and willing to share feedback.