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Senior Data Analyst, Consumer Goods (Pro) – Business (F/N/M)
Leboncoin
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted Oct 23
About this role
leboncoin is France's leading classifieds platform for peer-to-peer transactions, the market leader in real estate and automotive, and a key player in jobs and holiday rentals. Every month, leboncoin is the go-to platform for 28 million French users who value the breadth of its listings and the simplicity of everyday transactions. About the role : leboncoin's Pro segment is one of the company's core growth engines. As a Senior Data Analyst on the Business team, you will be the analytical partner for our commercial organisation — turning marketplace data into decisions that drive revenue, sharpen our professional offering, and improve go-to-market execution. You will work closely with strategy teams, product managers and senior stakeholders, bridging the gap between raw data and strategic action across our main categories. Your missions : User segmentation & fraud detection : contribute to identifying and monitoring fraud patterns across the marketplace, supporting efforts to maintain the integrity of our platform. Commercial performance dashboard : design and deliver a centralised business performance dashboard for commercial teams. The dashboard will link revenue outcomes to their underlying drivers — acquisition, ARPU, retention — providing a single source of truth that enables proactive decision-making. Agentic tooling & self-service analytics : contribute to building agentic tools that empower teams to access and explore data independently. This includes context engineering, documentation of data assets, and benchmarking and evaluation of analytical agents — helping the organisation move towards scalable, self-service analytics (Databricks). Advanced analytics : apply advanced analytical techniques to uncover business opportunities and support strategic decision-making. This includes building forecasting models, conducting user behaviour analysis, and developing segmentation frameworks.