Consultant, Data Analytics & Reporting

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper, and consumers to live well. This position is in our Food Enterprise where we serve food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate.

About the role

The Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights and builds detailed reports and dashboards using specific tools. With limited supervision, this role collaborates with cross-functional teams to ensure data accuracy and integrity while performing data and statistical analysis using various programming languages. This job supports the effective presentation of data findings to partners to meet business objectives.

Responsibilities

• Data Collection & Analysis: Gathers, processes, prepares, and analyzes moderately complex datasets to extract significant insights. Develops and maintains automated reporting systems to streamline data analysis.
• Reporting & Visualization: Implements detailed reports and dashboards using various tools. Designs and completes data visualizations to communicate moderately complex data clearly.
• Statistical Analysis: Supports statistical analysis execution to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
• Process Improvement: Implements opportunities to improve data collection and reporting processes. Applies standard methodologies for data management and reporting.
• Collaboration: Works closely with multi-functional teams to support data needs and deliver solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
• Data Analysis: Conducts moderately complex data analyses to uncover trends, patterns, and actionable insights for decision-making.
• Quality Assurance & Data Validation: Performs moderately complex reports and analyses to support the accuracy, consistency, and security of data.

Requirements

• Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.
• Proficiency with SQL, PowerBI, Python, or similar tools.
• The business will not sponsor applicants for work visas for this position.

Pay

The expected salary for this position is $75,000–115,000. Compensation varies depending on factors including location, certifications, education, and level of experience. This position is eligible for a discretionary incentive award based on company and personal performance.

Benefits

• Minnesota Sick and Safe Leave: accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.