Internship - Data Analyst - Vessel Energy Performance

American President Lines; Marseille; Sur place; EUR 10 000 - 15 000; Plein temps

Résumé du poste

CMA CGM Group is offering a 6-month internship in the Asset department to analyze vessel energy and CO2 consumption data and support energy-efficiency decisions. You will help build indicators for QlikSense dashboards and collaborate with R&D and business teams to ensure data quality.

The role starts January 2027 and provides training in data analysis within a global logistics environment, focused on maritime transport energy optimization.

Qualifications

• Pursuing a 5-year degree in data science or related field.
• Strong data analysis and SQL skills.
• Exposure to BI tools is a plus; training will be provided.

Responsabilités

• Analyze vessel energy and fuel/CO2 consumption data to identify optimization opportunities.
• Define energy performance indicators and present them in QlikSense dashboards.
• Ensure data quality and reliability; identify anomalies and suggest improvements.
• Collaborate with R&D and business teams to discuss vessel energy efficiency.

Connaissances

SQL

Data analysis

BI tools

Formation

Bac+5 (engineering school or data university)

Outils

QlikSense

Description du poste

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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 ROLE

You will join the Asset department, this department is responsible for consolidating vessel reporting data and sharing it with other departments across the CMA CGM Group. In the context of a full overhaul of the monitoring dashboards, following the deployment of the new reporting application (eV2PS), you will contribute to analyzing the fleet's energy and CO2 consumption data to support investment and energy-efficiency decisions.

As part of your studies, you are looking for a 6-month internship starting January 2027

WHAT ARE YOU GOING TO DO?

• Energy consumption analysis: You will analyze vessel navigation and fuel/CO2 consumption data to identify energy and financial optimization opportunities for the fleet.
• Building indicators: You will help define relevant energy performance indicators and contribute to their presentation in QlikSense dashboards, working alongside the teams in charge of tool development.
• Data reliability: You will help ensure the quality and reliability of the data used, identifying anomalies and suggesting improvements to the underlying queries.
• Cross-team collaboration: You will work with the R&D department and business teams to share your analyses and inform discussions on vessel energy efficiency.

WHO ARE WE LOOKING FOR?

• Education: You are pursuing a 5-year degree (Bac+5) at an engineering school, in data science, or at a university specialized in data analysis. A specialization in maritime transport would be a plus.
• Technical skills: You are comfortable working with and analyzing data (notably SQL) and can draw actionable conclusions from it. Prior exposure to BI tools is a plus; QlikSense training is provided as part of the internship.
• Interests: You have an interest in transport, energy and/or the maritime sector.
• Personal qualities: You are curious above all, rigorous in your analysis, and comfortable engaging with others: you will collaborate with colleagues from other departments.

JOB ENVIRONMENT

• Desired start date: 6 months starting January 2027