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Tier-1 employer, metro location, and a generalist analyst title increase applicant density.
Core data governance skills are transferable, while sustainability/ESG focus adds moderate industry specificity.
Mandatory SQL, Python and data governance skills required but no strict years specification.
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Own and steward day-to-day sustainability data (Scope 1, 2, 3) ensuring accuracy, completeness, and alignment with standards to enable trusted reporting and decision-making.
Manage data quality by monitoring, prioritizing, and resolving issues across global enterprise systems, protecting regulatory submissions and disclosures.
Collaborate with cross-functional teams to implement data standards, maintain metadata/catalogue, deliver data products, provide customer guidance, and drive governance and continuous process improvements.
Degree in relevant field such as Data, Business, Finance, Sustainability, or Engineering, or equivalent experience.
Proven experience in data governance, data quality, or data management roles involving structured datasets and data standards implementation.
Proficiency in SQL for data extraction and validation, and Python for data analysis and manipulation.
Work Experience Required: Not explicitly mentioned in the JD. Notice period: Not explicitly mentioned in the JD.
Experience working with sustainability or ESG data and enterprise systems supporting sustainability or data governance is highly beneficial.
Ability to operate as the operational link between business and technical teams in a global, cross-functional environment to embed standards and controls.
Comfortable working within global shared services or GBS environments with strong analytical skills and attention to detail to improve data governance frameworks and processes.