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A leading food industry company is seeking a Data & Analytics Product Owner in Suresnes, France. In this role, you will define the analytics product roadmap for the Supply Chain, collaborate with various teams, and ensure the delivery of data solutions. Ideal candidates should have a Master's degree and at least 5 years of relevant experience. This position offers the chance to work on innovative projects and join a dynamic data team.
The Bel Group is a major player in the food industry through portions of dairy, fruit and plant-based products, and one of the world leaders in branded cheeses. Its portfolio of differentiated and internationally recognized brands includes The Laughing Cow®, Kiri®, Babybel®, Boursin® Nurishh®, Pom'Potes® and GoGo squeeZ®, as well as some 30 local brands. Together, these brands helped the Group generate sales of €3.74 billion in 2024.
Do you want to join a company with strong brands that puts consumers and responsibility at the heart of the decision-making process? Then Bel is made for you!
Are you bold, pragmatic, and determined? Do you want to contribute to the transformation of an international agri-food company? Them come join us and measure the impact of your talent and energy in realizing an ambitious and sustainable company project!
#IWorkForAllForGood
We are looking for a dynamic and proactive Data & Analytics Product Owner to act as the primary point of contact (SPOC) and strategic business partner. Within Bel’s Data team and reporting to the Head of Analytics & AI Products , you will play a key role in defining and delivering analytics and advanced analytics products for the Supply Chain domain. You will act as the bridge between business stakeholders and technical teams to ensure the value and relevance of data solutions.
Technical Skills
Soft Skills
Education and Experience
At Bel Group, we believe that innovation in data is a key lever to tackle today’s challenges and build tomorrow’s solutions. As a Product Owner Analytics specializing in RID, you’ll have the opportunity to :