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Sustainability Data Analyst

Sainsbury's • United Kingdom • Added on Nov 6, 2026
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This analyst turns Argos sustainability data into reliable performance information. The work spans product, supplier and operational measures, with a particular focus on emissions, and connects careful data checking with reporting that colleagues can use to make decisions.

For a major general merchandise retailer, environmental impacts are spread across products, sourcing and supply chains. Better data can help the business understand those impacts, track progress and prepare evidence for climate and energy disclosures. The role brings analytical discipline to that work, including carbon accounting and reporting against frameworks such as TCFD, SECR and ESOS.

This suits someone who enjoys working with complex datasets and can explain findings clearly to people outside a data team. Experience with sustainability metrics, dashboards and auditable methods would be useful, as would an interest in how retail products and suppliers shape environmental performance.

Job FAQs

What are the main missions and responsibilities of this role?

The role would bring together sustainability information from internal systems, suppliers and external sources, then check its completeness, consistency and traceability. Analysis covers emissions, products, suppliers, responsible sourcing, packaging, waste and circularity. The analyst would turn results into dashboards, recurring reports and concise recommendations, while helping with carbon accounting, forecasts and target tracking. Documentation and evidence would also support year-end climate and energy reporting, including TCFD, SECR and ESOS.

Key learning opportunities for this job

The role could build practical expertise in retail sustainability metrics, supplier and product data, and carbon accounting. Working with established methodologies and audit trails may deepen knowledge of the GHG Protocol and disclosure frameworks such as TCFD, SECR and ESOS. There may also be scope to develop skills in visualisation tools such as Power BI or Tableau, SQL, data modelling and automation, depending on the systems in use. Cross-functional work offers exposure to sourcing, commercial, technical, finance and data teams.

How does the ideal candidate look like (experience, skills)?

A suitable candidate would bring experience cleaning, validating and analysing complex datasets, supported by strong spreadsheet skills and confidence creating clear reports or dashboards. A degree, professional qualification or equivalent experience in analytics, sustainability, environmental science, statistics, business or a related field is requested. Knowledge of emissions, supplier or product data, and sound documentation practices would be relevant. Familiarity with Power BI, Tableau, SQL, carbon accounting or sustainability reporting frameworks is desirable. Clear communication and careful prioritisation matter when explaining findings and managing recurring reporting cycles.

Advice to stand out and make a successful application

Use examples that show how you improved data quality, found an anomaly or turned analysis into a decision. Explain the dataset, checks or controls you applied, the tools used and the outcome, while being clear about your own contribution. For Argos, connect your experience to product, supplier or retail data where possible. Mention relevant emissions methods or disclosure work, and show how you make calculations traceable through documented definitions, assumptions and evidence.

What aspects of the company's sustainability is this role likely to focus on?

The role is likely to focus on measuring and reporting environmental performance across Argos products, suppliers and operations. Emissions and carbon accounting are central, alongside responsible sourcing, packaging, waste and circularity. Reliable, documented data would support target tracking and disclosures, including TCFD, SECR and ESOS. The position supports sustainability decision-making through evidence and analysis, though the posting does not specify particular reduction targets or projects.

What are the main challenges someone in this role might face?

A likely challenge is combining information from different systems, suppliers and external sources while maintaining consistent definitions and an audit trail. Missing or inconsistent inputs may require investigation with data owners before the figures can support reporting. The analyst would also need to make complex results useful to different audiences and balance recurring reporting deadlines with new data requests. Methodological clarity will matter where forecasts, carbon calculations and disclosures rely on assumptions.

How could a typical day look like for someone in this position?

A day could include checking incoming supplier or internal data, investigating unusual values and updating calculations or documentation. The analyst might then refresh a dashboard or reporting pack and prepare commentary on trends, gaps or progress against targets. Time could also be spent with sourcing, commercial, finance, technical or data colleagues to agree definitions and resolve information gaps. The balance would likely shift around reporting deadlines and year-end climate or energy disclosures.

What are the opportunities for professional growth and development in this role?

This position could deepen expertise in sustainability data, carbon accounting and environmental reporting within a large retail group. Work across products, suppliers and operations may also build an understanding of how retail value chains affect environmental performance. Depending on business needs and development, experience with assurance, forecasting, analytics tools or reporting frameworks could support future specialist roles in ESG data, climate reporting or sustainability analytics. The posting mentions development support but does not specify a promotion route.

The main stakeholders you might be interacting with

The analyst would likely work with sustainability colleagues and data owners across commercial, technical, sourcing, finance and data teams. These interactions would help define metrics, resolve data gaps and interpret results for business decisions. Supplier contacts may contribute product, sourcing or environmental information. Governance forums and senior stakeholders could use the resulting reports, while assurance or reporting colleagues may rely on the supporting calculations, documentation and evidence.

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