Analyst - Sustainability Data Steward

AstraZeneca — India - Chennai

Job Title: Analyst Career Level: C3 Introduction to role: Are you ready to turn sophisticated sustainability data into trusted insight that shapes decisions and meets rising regulatory expectations? As an Analyst focused on Sustainability Data Stewardship, you will ensure the quality, consistency, and governance of sustainability data that underpins our disclosures and guides how we operate. Your work will directly support reliable reporting, regulatory compliance, and smarter decision-making across emissions and resource use. In this role, you will be the operational link between business and technology teams, embedding standards and controls while enabling data products that serve analytics, reporting, and assurance. Do you enjoy bringing order to sophisticated datasets and aligning diverse partners to a single standard? You will work with colleagues in Sustainability, Operations, Real Estate, Finance, and Digital/IT to build a common data language, reduce ambiguity, and make our sustainability data discoverable and trusted—so the business can act at pace with confidence. Accountabilities: Stewardship of Sustainability Data (Scope 1, 2, and 3): Own day-to-day data assets to ensure accuracy, completeness, and alignment to defined standards, enabling trusted reporting and decision-making from site to enterprise level. Data Quality Management: Monitor, prioritise, and resolve data quality issues in collaboration with data owners and system owners; call out risks when standards are not met to protect regulatory submissions and external disclosures. Standards and Controls: Implement and maintain data standards, definitions, and validation rules consistently across regions and systems; contribute to continuous improvement of governance frameworks and processes to raise the quality bar. Metadata and Catalogue Management: Maintain and improve the data catalogue and metadata (definitions, lineage, quality metrics, usage guidance) so sustainability data is easily discoverab

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