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.
Position Summary:
Business expert in OPEX and local revenue tasked with creating financial models, studies and reports by linking operational and financial data. The C&R Data analytics Specialist will convert data into information useful to identify actions in areas of concern or opportunity to upper management. The C&R Data analytics Specialist develop automated tools to track and forecast cost trends, ensure data accuracy and information consistency, and present data-based recommendations to management based on in depth operational and financial analysis. This specialist should be data driven, analytics expert and should have outstanding collaboration skills.
Essential Duties / Responsibilities:
Gather, clean, understand, organize databases, and perform analysis conducting to produce reporting related to OPEX and local revenue efficiency
Develop Cost studies on historical data and create forecasting models of OPEX and Local Revenue. Those studies could be Excel, access reports or Qlik Sense dashboards
Generated periodical reports and update automated reporting to be available to Cost control, other teams and top management
Present insights and recommendations to top management based on in depth operational and financial analysis.
Implement and promote improvements of current reports developing analytics and data visualization tools and suggesting alternative sources of information.
Record, monitor and validated estimations and monthly achievements of OPEX reduction initiatives and additional local Revenue
Support and engage in a team mindset of high performance, participate in permanent improvement actions and support a team culture of innovation.
Miscellaneous related duties or projects as assigned
Knowledge, Skills, and Abilities Required:
Math functions and Numbers required
Ability to apply advanced analytical tools, such as regression, correlation, statistics analysis and prediction techniques.
Must be comfortable working with large amounts of data
Proficient computer skills to include all Microsoft applications (MS Excel, MS Outlook, MS Word)
Working knowledge of business analytics
Advanced skill with Qlik Sense, Power BI or another similar business analytics software preferred
Advanced skills in data management
Ability to apply critical thinking to complex situations
Demonstrated ability to communicate orally and in writing with strong presentation skills
Advanced problem solving and analytical skills
Proven ability to work in team environment
Accepts responsibility and accountability with focus on results
Ability to monitor and manage priorities and work on multiple tasks concurrently
Education and Experience Requirements:
Bachelor’s degree (BA) from a four-year college or university required
Master’s degree in data analytics, logistics, supply chain or similar field preferred
At least 2 years of related experience in shipping, Logistics or supply chain
Come along on CMA CGM’s adventure! CMA CGM (America) LLC is committed to equal employment opportunity for all qualified persons without regard to race, color, religion, sex, national origin, pregnancy, age, sexual orientation, marital status, gender identity, veteran status, disability, or any other legally protected classification.