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Job Description
We are looking for a Senior Data Analyst to join our Sustainability Impact team. In this role, you will be responsible for the technical and data structuring aspects of our ESG data processes, working at the intersection of the Sustainability Impact team and the Data AI team. You will own the digitalization and technical dimensions of sustainability data collection and quality control, and contribute to the production of structured, high-quality analytical outputs that support regulatory filings, investment decisions, and LP communications. This is an analytical role involving a high level of collaboration, notably with the Investment and the Data AI teams. Key responsibilities Data Infrastructure Quality Source, evaluate, and maintain external ESG data sources; apply semantic and taxonomic standards to ensure cross-portfolio comparability. Own the digitalization of the annual ESG data collection campaign across 600+ portfolio companies, from workflow design to quality assurance. Collaborate with portfolio companies to improve source data quality, and ensure traceability, versioning, and accessibility of curated datasets. Regulatory Portfolio Analytics Produce regulatory analytics (SFDR PAI, EU Taxonomy, …) and maintain dashboards for investment teams, IR, regulators, and LPs. Conduct sector benchmarking, trend analysis, outlier detection, and impact scoring; prepare ESG content for due diligence and LP reporting. Progressively build predictive models to assess portfolio exposure to ESG and climate-related risks. AI Integration Act as the team's AI power user: develop and maintain prompts, agents, and workflows for analytical and client-facing needs, including complex LP questionnaires. Identify, prioritize, and prototype AI use cases across ESG data processing, regulatory reporting, and impact analytics. Research Innovation Watch Monitor and synthesize developments in ESG data providers, regulatory standards, and AI tooling; assess implications for the team's frameworks and workflows.