SENIOR DATA ANALYST – SUSTAINABILITY & IMPACT

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.