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ESG Data Analyst

Pubblicato il 04-10-2026 - Euronext in Milano

Overview
In this role you will support the ESG data team in Lisbon, driving the collection, validation and reporting of ESG data across the group. You will help roll out supplier engagement aligned with SBTi, track emissions disclosures, and contribute to CSRD reporting and EU Taxonomy assessments. The position focuses on building robust data processes and collaborating with procurement, finance and external auditors to enhance reporting quality and transparency. This is a chance to shape sustainable capital markets through rigorous data work and cross-functional partnership.

Responsabilità
- Support roll-out of the supplier engagement plan aligned with SBTi targets
- Track supplier emissions disclosures and maintain the supplier data tracker
- Engage procurement and category managers to embed ESG criteria in onboarding and evaluation
- Contribute to CSRD reporting cycle, coordinating with external auditors
- Collect and calculate carbon footprint data
- Support EU Taxonomy eligibility and alignment assessments (CapEx, OpEx, turnover KPIs)




- Collect ESG data from business units across geographies for public reporting
- Maintain ESG data collection templates and methodology documentation, identify data needs to improve reporting quality and coverage

Requisiti fondamentali
- Degree in finance, sustainability, supply chain or procurement, environmental science, business or related field, or equivalent practical experience
- Familiarity with GHG accounting, CSRD or EU Taxonomy reporting
- Working knowledge of Excel and comfort handling large, multi-source datasets
- Professional proficiency in English, written and spoken
- Analytical rigour and attention to detail
- Clear communicator, able to work across teams and with external counterparties
- Previous experience in sustainable procurement or ESG is a strong plus
- Experience with data tools beyond Excel (Power BI, SQL, Python or similar) is a plus
- Additional European languages are a plus
- Analytical rigour and a

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