Sustainability Data Analyst – Agriculture

Overview

At Pepsi Co our vision is to be the global leader in convenient foods and beverages by Winning with Pepsi Co Positive (pep+), a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people. This reflects our ambition to win sustainably in the marketplace and accelerate our top line growth, whilst keeping our commitment to do good for the planet and our communities.

Pepsi Co’s Global Sustainability Office (GSO) oversees coordinating and informing the company’s sustainability agenda across our value chain. The GSO is also responsible for collection and management of sustainability data used to report progress to our stakeholders, inform our goal setting process, and support in making investment decisions.

The Sustainability Data Analyst — Agriculture role is part of the GSO and will be responsible for collection, cleansing, collation, curation, and certification of high-quality agriculture data sets to track and report progress on our Positive Agriculture goals. As the agriculture data subject matter expert, this individual will be responsible for supporting all activities from collection to certification of agriculture and related sustainability data.

This role will also support design and delivery of reports, scorecards, dashboards, and analytical models that translate the agriculture data into decisions and actions. Additionally, this role will support elements of sustainability information governance policy needed to ensure accurate and credible reporting to both internal and external stakeholders (e.g. annual ESG Performance Metrics report, CDP — Carbon Disclosure Project, GRI — Global Reporting Initiatives, CGF — Consumer Goods Forum, etc.).

Finally, this role will assist in defining and validating the agriculture metrics in next generation enterprise platforms such as Pepsi Co Global Template (PGT), Enterprise Data Foundation (EDF), Integrated Business Planning (IBP) to ensure that agriculture data is completely and correctly available in the new platforms.

• As the agriculture data subject matter expert this individual will be responsible for all activities from data sourcing to certification of agriculture and related sustainability data
• Collaborate and coordinate with sector data analysts/data owners in agriculture data collection and validation for annual ESG reporting
• Support certification of agriculture with internal controls as well as partnering with internal and external teams for independent, third-party data verification to ensure reliability of data
• Support data needs for public/private reporting requirements, including to organizations such as CDP (Carbon Disclosure Project), GRI (Global Reporting initiatives), and CGF — Consumer Goods Forum
• Support global & sectors teams with ad-hoc data and statistical analysis including managing inputs for customer surveys as relevant
• Support the teams with development or analytics regarding new or emerging sustainability goals and analytics work to support relevant business use cases
• Manage data governance document and processes for agriculture data and ensure data in the system is complete, has been reviewed for integrity and can withstand audit and assessment by 3rd parties
• Conduct peer or competitive analysis on peer agriculture goals and performance
• Assist in developing the supporting analysis for agriculture metrics required for senior management presentations
• Support digital transformation and data automation initiatives and process improvements for streamlining data capture and reporting for agriculture and other areas of sustainability reporting as time allows
• Support the agriculture agenda to create synergies within this workstream and with other sustainability priority areas and drive best practice sharing to enhance current data governance and reporting processes within sustainability and other teams across Pepsi Co
• Support collection, cleansing, collation, curation, projections, analytics, and digitization efforts of other sustainability data as time permits