Sustainability Data Analyst

Amaris
Madrid, Spain
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Data Analysis Information Systems Information Engineering Data Governance Data Integration Data Mining Database Queries Operational Data Store Powerpivot Power BI Systems Integration
+7 more
Powerquery Data Lakes Information Technology Enterprise Integration Data Management Api Management Workday

Job description

Take your career to the next level with Amaris Consulting as aSustainability Data Analyst .Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide in the heart of Barcelona.QualificationsEducational Background : Solid educational background in Data Science, Information Systems, Environmental Science, Computer Science, Statistics, or similar quantitative fieldsTargeted Experience : 4+ years of hands?on experience in Data Analysis or Data Engineering.A proven track record operating within highly regulated environments is essentialSustainability & ESG Expertise : Understanding of carbon accounting (GHG Protocol Scopes 1, 2, and 3) and mandatory corporate reporting directives (specifically CSRD and the EU Taxonomy).Familiarity with global ESG frameworks (GRI, SASB, TCFD) is critical for success in this roleTechnical Mastery in Visualization : Advanced proficiency in Power BI reporting and data modelling (including Power Query and Power Pivot).You build scalable, high?performance ESG dashboards that executives use to track sustainability goalsData Extraction and Integration Skills : Strong SQL skills, knowledge of data lakes/warehouses, and hands?on experience with API integrations.Experience extracting and unifying carbon/environmental datasets alongside unstructured operational data from complex enterprise platforms (e.g., Workday, supply chain ERPs) is a major plusStrict Data Governance Mindset : Deep understanding of master data management (MDM) and data quality principles.You instinctively check for data quality, confidentiality, integrity, and traceability before publishing any datasetAnalytical Rigor : A proactive “data janitor” mindset with strong problem?solving skills.You take messy, decentralized sustainability data (e.g., utility bills, global supply chain emissions, fragmented HR metrics) and structure it into reliable, automated KPI feedsResponsibilitiesBuild and Maintain ESG Dashboards : Design, develop, and deploy advanced Power BI visualization boards, identify mandatory sustainability fields, and automate notifications to provide actionable climate and corporate insights for global leadershipData Integration & Modeling : Extract, clean, and structure complex environmental and operational datasets from various global systems, building robust data models to support automated, cross?system ESG data flowDrive Data Quality Analysis : Perform rigorous data quality and volume analysis on carbon and operational metrics to define migration rules, troubleshoot anomalies, and ensure system performance requirements are metEnsure ESG Audit Readiness : Implement strict data governance validation rules to ensure all sustainability datasets maintain absolute integrity, traceability, and compliance for upcoming CSRD mandates and third?party auditSupport System Integration : Collaborate with developers, process owners, and sustainability leaders to map data architectures and support the integration of enterprise systems through APIs to capture comprehensive Scope 1, 2, and 3 emission dataTranslate Data to Business Impact : Act as the core ESG data subject?matter expert, taking fragmented sustainability metrics and transforming them into clear, reliable reporting structures that drive strategic business decisions and environmental complianceBenefitsGrow rapidly with a tailored career path and transparent salary evaluation - 70% of our senior leaders started at entry levelEnhance your skills through our Tech Academy catalogue, Udemy e?learning platform, language sessions, webinars, and specialised UX certificationsBenefit from flexible remote options, hybrid Barcelona hub, transit & restaurant tickets, kindergarten support and private health insuranceAccess dedicated wellbeing through our WeCare programme, supporting employees and families in critical situationsUnleash your full potential, both professionally and personally, within a company where your insights make a visible differenceAmaris Consulting is proud to be an equal?opportunity workplace.We are committed to promoting diversity within the workforce and creating an inclusive environment.For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.#J-*****-Ljbffr

Requirements

Educational Background : Solid educational background in Data Science, Information Systems, Environmental Science, Computer Science, Statistics, or similar quantitative fields Targeted Experience : 4+ years of hands?on experience in Data Analysis or Data Engineering. A proven track record operating within highly regulated environments is essential Sustainability & ESG Expertise : Understanding of carbon accounting (GHG Protocol Scopes 1, 2, and 3) and mandatory corporate reporting directives (specifically CSRD and the EU Taxonomy). Familiarity with global ESG frameworks (GRI, SASB, TCFD) is critical for success in this role Technical Mastery in Visualization : Advanced proficiency in Power BI reporting and data modelling (including Power Query and Power Pivot). You build scalable, high?performance ESG dashboards that executives use to track sustainability goals Data Extraction and Integration Skills : Strong SQL skills, knowledge of data lakes/warehouses, and hands?on experience with API integrations. Experience extracting and unifying carbon/environmental datasets alongside unstructured operational data from complex enterprise platforms (e.g., Workday, supply chain ERPs) is a major plus Strict Data Governance Mindset : Deep understanding of master data management (MDM) and data quality principles. You instinctively check for data quality, confidentiality, integrity, and traceability before publishing any dataset Analytical Rigor : A proactive “data janitor” mindset with strong problem?solving skills. You take messy, decentralized sustainability data (e.g., utility bills, global supply chain emissions, fragmented HR metrics) and structure it into reliable, automated KPI feeds

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