Analyst, Spend & Market Analysis 1

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come. Job Purpose and Impact This role helps stakeholders make better decisions by building reliable data foundations and scalable data solutions. You'll support the development and maintenance of data pipelines, datasets, and self-service tools for Procurement & Transportation teams, combining data from multiple sources. You'll also work with stakeholders and use SQL, Python, APIs, and AI tools to improve data access, automate workflows, and support informed, risk-aware decisions. #LI-EV1 #LI-Remote Key Accountabilities Support execution of stakeholder requirements by building and maintaining data solutions Prepare, profile, and transform data; support data ingestion, documentation, and quality controls Build and maintain data pipelines, datasets, and self-service tools under guidance Support development of benchmarks, cost models, and data assets for spend and market use cases Troubleshoot data issues and improve usability and self-service access Collaborate with stakeholders under guidance to clarify needs, test outputs, and support adoption Support maintenance of data standards, definitions, and governance practices Document logic, processes, and user guidance for supported solutions Handle routine issues independently and escalate complex problems Qualifications Bachelor Degree in relevant field Experience in analytics, procurement, supply chain, market intelligence Strong SQL skills and experience working with structured datasets and relational databases Proficiency in SQL and familiarity with Python and Tableau or Power BI Advanced English Strong attention to detail and problem-solving skills Effective communication and ability to explain data concepts clearly Ability to manage priorities and deliver high-quality work in a team environment