ESG Data Analyst (VIE) — Shape Sustainable Capital Markets

hrhub; Lisboa; Presencial; EUR 42 000 - 54 000; Tempo integral

Resumo da oferta

Euronext is seeking an ESG Data Analyst (V.I.E.) to join the ESG Data Team in Lisbon, Portugal starting December 2026. You will support roll-out of supplier engagement, track emissions data, and embed ESG criteria across procurement.

The role requires a degree in a related field, familiarity with GHG accounting and CSRD or EU Taxonomy reporting, plus strong Excel skills and the ability to handle large datasets. English proficiency and clear communication across teams are essential.

Qualificações

• Degree in finance, sustainability, supply chain or related field
• Familiarity with GHG accounting, CSRD or EU Taxonomy reporting
• Working knowledge of Excel and handling large multi-source datasets
• Professional proficiency in English, written and spoken

Responsabilidades

• Support the roll-out of supplier engagement plan against SBTi targets
• Track supplier progress on emissions disclosure and target-setting
• Engage procurement and category managers to embed ESG criteria into supplier onboarding
• Contribute to the CSRD reporting cycle, including coordination 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

Conhecimentos

Excel

Power BI

SQL

Python

Analytical skills

Formação académica

Degree in finance or sustainability

Ferramentas

Power BI

SQL

Python

Excel

Descrição da oferta de emprego

Euronext is seeking an ESG Data Analyst (V.I.E.) to join the ESG Data Team in Lisbon, Portugal starting December 2026. You will support roll-out of supplier engagement, track emissions data, and embed ESG criteria across procurement.

The role requires a degree in a related field, familiarity with GHG accounting and CSRD or EU Taxonomy reporting, plus strong Excel skills and the ability to handle large datasets. English proficiency and clear communication across teams are essential.