Environmental Data Analyst

Tasks & Responsibilities Data collection & management Collect, clean, validate, and manage environmental data from multiple internal and external sources Ensure data quality, consistency, and traceability in line with internal standards and regulatory requirements (e.g. CSRD, Taxonomy, ESG KPIs, GHG Protocol) Maintain and update databases, dashboards, and data repositories related to environmental performance Analysis & reporting Analyze environmental datasets related to topics such as air and water emissions , GHG emissions, energy use, residues generation and management, resource efficiency, chemicals Produce quantitative analyses, indicators, and trends to support decision‑making Analyze progress of performance Benchmarking Prepare periodic reports for internal management, audits, and external stakeholders Define environmental improvement potential in line with existing and upcoming legislation Define, in coordination with sites, clusters and segments, individual, cluster, segment and group targets and timing Regulatory support Monitor and analyse development of relevant environmental regulations and reporting frameworks (e.g. CSRD, Taxonomy, ESG KPIs, GHG Protocol) Assist in responding to data requests from regulators, auditors, customers, and partners Tools & visualization Develop and maintain dashboards, visualisations, and automated reporting tools Translate complex datasets into clear insights, charts, and summaries for non‑technical audiences Collaboration & continuous improvement Work closely with environmental experts, operations and IT Identify opportunities to improve data processes, automation, and methodologies Document data sources, assumptions, calculation methods, and workflows Required Qualifications & Skills Education Master’s or Bachelor’s degree in Environmental Science, Environmental Engineering, Data Science or a related field Experience 5 years experience in similar role Expertise in Environment and Energy; particularly knowledge about EU environmental legislation and governance is relevant Knowledge of upstream steel production is highly desirable Technical & analytical skills Strong quantitative and analytical skills with experience handling large and complex datasets Proficiency in data analysis tools such as: Excel (advanced functions, Power Query, pivot tables) SQL and/or Python / R (depending on seniority) BI or visualization tools (e.g. Power BI, Tableau) Experience with environmental data Environmental & regulatory knowledge Good understanding of environmental indicators, methodologies, and metrics Familiarity with relevant frameworks and regulations is an asset, such as: CSRD, Taxonomy ESG reporting GHG Protocol / carbon accounting Soft skills Strong attention to detail and data accuracy Ability to interpret data and communicate results clearly in writing and presentations Well‑organised, able to manage multiple tasks and deadlines Collaborative mindset and ability to work with multidisciplinary teams Language & other requirements Very good written and spoken English (additional languages are an asset) Knowledge of French or German or Spanish is a plus Interest in environment, climate topics Ability to work with confidential and sensitive information Optional / Nice ‑ to ‑ Have Requirements Experience in a corporate environment , environment consulting Knowledge of automation, APIs, or advanced data pipelines Experience supporting audits or verified reporting