Apprenticeship - Data Quality officer

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.

THE ROLE

The Data Office reports to the Chief Data Officer (CDO). This division comprises five distinct teams: 

• ENTERPRISE DATA / DATA MANAGEMENT, whose main mission is to maintain the integrity of master/reference data essential to the Group (such as information on trading partners, ships, locations and shipping lines) within the Master Data Management (MDM) system.
• DATA GOVERNANCE, dedicated to promoting "Data Governance by Design" by offering standardized services and ensuring that data quality standards are met.
• DATA SCIENCES, responsible for developing and deploying science models and solutions based on artificial intelligence (AI). 
• DATA TRANSFORMATION, whose role is to lead transformation initiatives aimed at strengthening foundations, developing new skills and encouraging synergies within the company. 
• DATA PRODUCTS ENABLEMENT, which manages data products related to master data, data quality, data governance and data warehousing.

Data is an essential asset for tackling business challenges, meeting fundamental business needs and uncovering new business opportunities. To facilitate the implementation of digital initiatives, it is crucial to maintain a high level of data quality in order to reinforce confidence in this data. Numerous projects have been launched in various departments to monitor and understand data quality throughout its lifecycle, from initial collection to end-users. The main objective of the Data Ambition in 2024 is to stabilize and improve the integration of master data within all existing applications and enhance the quality of the Group's data. 
 
Semarchy is a master data management tool for the CMA CGM ecosystem. This platform has made it possible to create several applications that centralize the company's data, such as information on ships, commercial partners (suppliers and customers) and the geographical repository. A reassessment of certain architectural decisions is underway to improve the flexibility of Semarchy's integration with all CMA CGM applications, and its reliability, notably through the use of standard functionalities integrated into the tool (retrofit).

RESPONSIBILITIES

In this context, the CMA CGM group is looking for a work-study student available from July, for a period of one to two years, to take part in the activities of the Data Product Enablement team and more particularly to collaborate on the subjects of data quality and data observability.
An attendance rate of 75% would be preferable.
This position will be supported by our Data Quality Officer, who will be responsible for the development of skills. 

PROFILE AND SKILLS

The profile sought will contribute to the following tasks: 
 

- Actively contribute to the implementation and deployment of data quality tools to be made available
- Provide essential day-to-day support in maintaining and improving data quality, while assisting in the analysis of various data products.
- Ensure continuous improvement of data quality and data analysis standards
- Ensure the consistent development of observability and data quality tools within the CMA CGM group
- Propose industrialized solutions to the various business cases that arise, using the standard solutions implemented.
- Communicate regularly on the added value of the actions implemented.

The profile sought should ideally have the following training and skills:
- At least 4 years' higher education in data science or analytics from an engineering school
- Strong project management skills
- dual training in data science/analytics and project management would be a plus
- Demonstrate a keen interest in Artificial Intelligence and its applications to productivity improvement
- Mastery of algorithms, programming languages and database languages, including Python, R, SQL and DATA VIZ tools such as Power BI or QlikSense
- Basic knowledge of data engineering, data quality and data analysis concepts and tools.

Soft skills 
- An analytical, structured and solution-oriented nature
- Ability to collaborate effectively within a team and with others
- Fluent English essential
- Motivated, committed and curious about new technologies
- Ability to share ideas in a synthetic and accessible way to a diverse audience (both technical and operational)
- Focused on delivering value to consumers
 

Find out more about CMA CGM Group's Sustainable Development approach and net zero carbon emissions by 2050 ambition.
Find out more about CMA CGM exceptional work environment.
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