Data Analyst Paris

Kanop is seeking a talented individual with infinite curiosity to join our mission: measure the environmental benefits provided by nature-based projects around the world. Location: Paris (Station F), in office or hybrid Responsibilities Develop and maintain dashboards to monitor data and analyse performance Implement a strategy to acquire ground data at scale Run model pipelines to sanity check and suggest improvements Identify new features to make our product evolve according to usage and needs What we are looking for Recent graduate from a numerate discipline (including but not limited to physics, engineering, computing, environmental science, ecology) Previous experience in an analytical job (data analyst or analyst in a startup) Strong analytical skills and data-driven thinking Perfectly fluent in English and in Python (French is a plus) Able to balance speed and quality, with a focus on tangible results Demonstrating team spirit & great communication skills Problem-solver mindset with a deep understanding of the business stakes Humble and curious with a big appetite to learn discover and experiment new things Accustomed to fast-paced learning environments What we offer Have a positive impact on our planet Evolve in a stimulating and challenging environment Share and learn with a passionate and friendly team Recruitment process Screening call Case study interview Culture fit interview Offer How to apply Does this role sound like a good fit? Email us at [email protected] . Please include the role's title in your subject line. About us Climate change is heating the world and the United Nations declared that 2021–2030 will be the decade for ecosystem restoration. Nature-based solutions have a huge potential to mitigate climate change at scale by sequestering carbon, while providing substantial co-benefits such as biodiversity conservation. At Kanop, we also think that forests are part of the solution so we help forest managers and project developers scale their operations. We leverage satellite data and state-of-the-art AI models to accurately measure and certify ecosystem services that forests provide. #J-18808-Ljbffr