Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.
Job Purpose and Impact
This role helps stakeholders make better decisions by turning spend and market data into scalable data solutions and actionable insights. You'll design, build, and scale data pipelines, reusable datasets, and self-service tools for Procurement & Transportation teams, combining data from multiple sources. You'll partner with stakeholders and use SQL, Python, APIs, and AI tools to automate workflows, improve data access, and drive informed, risk-aware decision making.
Key Accountabilities
- Translate stakeholder requirements into scalable data solutions and technical designs
- Design, build, and scale data pipelines, reusable datasets, and self-service tools
- Develop benchmarks, cost models, and data products that support spend and market decisions
- Partner with stakeholders to refine needs, validate outputs, and support solution adoption
- Improve usability, documentation, and self-service access across data solutions
- Provide input into prioritization based on value, feasibility, and technical dependencies
- Define and maintain data standards, business definitions, and governance practices
- Use SQL, Python, APIs, and AI tools to automate workflows, enrich data, and generate insights
- Promote best practices and mentor analysts on scalable solution development
- Independently solve complex problems and drive delivery
Qualifications
Minimum Qualifications- Experience in analytics, BI, procurement, supply chain, market intelligence, or a related field
- Strong SQL and dbt skills and experience with large, complex datasets
- Proficiency in SQL, Python, and Power BI
- Proven experience building data models, pipelines, and analytical solutions for business users
- Experience using APIs, MCPs and AI tools for automation and analytics
- Experience working in agile environments
- Familiarity with market data, benchmarks, forecasting, or cost modeling
- Knowledge of data governance, quality, and documentation practices
- Strong project management, multitasking, and communication skills
- Ability to clearly present technical concepts and business implications to varied audiences
- Advanced English proficiency is required.
Preferred Qualifications - Certifications in programming or BI tools
- Experience working in a global environment
- Experience with procurement and transportation data
- Knowledge of SAP, Ariba, or other ERP or procurement systems
- Experience with documentation, cataloging, and user enablement
- Experience with predictive modeling, forecasting, or anomaly detection
- Experience with Snowflake and AWS
- Experience with pricing models, benchmarks, market data, or supplier performance analytics
- Advanced English proficiency is required.
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At Cargill, everyone matters and everyone counts. Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect. As such and in alignment with our Guiding Principles, Cargill's long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law. Cargill also complies with all applicable national and local laws and regulations pertaining to non-discrimination and employment.
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