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A leading company is seeking a Data Analyst to join their Data Analytics team. The role involves supporting business performance through data analysis, providing strategic recommendations, and promoting a data-driven culture within the organization. Ideal candidates will have a strong background in SQL and Python, with at least 5 years of experience. The position offers attractive remuneration and opportunities for professional development.
Created in 2006, leboncoin.fr is an exchange platform that simplifies access to consumption, favors local relations and makes digital a tool at the service of all. leboncoin is positioned as a digital, economic, societal, innovative player, always with the same objective : to facilitate all day-to-day exchanges for all of our users. We give a second life to thousands of goods. Behind this apparent simplicity, there is a fast-growing company with 1,400 employees, where it is good to work, a company that cultivates a responsible and collective HR approach. We are also the 1st site for sales between individuals in France and the 5th most consulted site in France.
What you'll do & Who you are
At leboncoin, data is at the heart of decision-making. By joining our Data Analytics team, you will become the analytical referent for the Business teams and ensure the application of robust analysis methodologies. Also, your main missions will be the following :
Driving the business performance of the leboncoin group :
Contributing to the development of the leboncoin Group :
Monitoring :
Beyond these missions, you will promote and disseminate the Data culture within the company.
Qualifications :
Benefits :
Want to find out more? Apply and ask our recruiters!
Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
If you feel like you don't meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don't meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.