Apprentice Bac +4/5 Data Analyst Fleet management Africa & LAPAC H/F

Transportation is at the heart of our society. Why not put your expertise at the service of the development of tomorrow's sustainable transport solutions? If you want to act on a global scale by working on the most advanced technologies and with the best teams, then we could be a perfect fit.

What You Will Do

With more than 60,000 vehicles sold annually, Renault Trucks is one of the world's leading manufacturers of heavy goods vehicles.

Your mission

As a Data Management Project Manager, you will be responsible for the development and complete management of our "Fleet management" Dashboard. The purpose of this application is to translate technical information from vehicles into business data to support customers and develop our business.

Your Responsibilities

• Define the roadmap of the Dashboard's evolutions according to user wishes and new data available.
• To support users in the appropriation of the tool and its development.
• Provide training and produce materials.
• Carry out the changes to the Dashboard (Power BI), including the integration of a report for customers in 2025.
• Propose new interpretations of data applicable to our customers' business
• Manage all communication, make presentations related to the Dashboard
• Ensuring technology monitoring, looking for best practices
• Build your Data Analyst network within the company
• Produce query models and KPIs at the request of users

Who are you?

• You are comfortable in public presentations and have the leadership skills to lead communication about your business and provide training.
• You are creative and autonomous, show initiative and are result-oriented.
• You are proficient in data management tools and are comfortable in the modeling and statistical processing of data.
• You are passionate about the world of automotive and transport.
• You like to evolve in an international and multicultural context, share your experiences, propose new and innovative solutions.
• You are rigorous and are concerned about delivering quality results.

Education And Experience

• Engineering school training in computer engineering or data management
• Knowledge of data management tools: SQL server, Azure Databricks, Python, Power BI, ETL tool, data warehouse, ...
• Proficiency in Office tools, including Excel at the advanced level.
• Fluent in English and French, spoken and written