Senior Consultant, Data Analytics & Reporting

cargill • Shorewood, MN

3d

About The Position

This position is in Cargill's Food Enterprise, which serves food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. The portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa, and chocolate. The Senior Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and builds detailed reports and dashboards using specific tools. With minimal supervision, this job collaborates with cross-functional teams to ensure data accuracy and integrity, performing data and statistical analysis using various programming languages. This job plays a key role in effectively presenting data findings to partners to meet business objectives.

Requirements

• Minimum requirement of 4 years of relevant work experience.
• Typically reflects 5 years or more of relevant experience.

Nice To Haves

• Strong proficiency with SQL, Power BI, Python, or similar
• Experience building field mapping documents, data lineage, or technical specifications

Responsibilities

• Captures, processes, prepares, and analyzes complex datasets to extract significant insights.
• Develops and maintains automated reporting systems to streamline data analysis.
• Cultivates and maintains positive partner relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
• Builds detailed reports and dashboards using various tools.
• Designs and implements data visualizations to communicate complex data clearly.
• Performs statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
• Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
• Works closely with cross-functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
• Coaches and advises to mature data consumption and analytics capabilities.
• Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
• Ensures the accuracy, consistency, and security of data across all reports and analyses.

Benefits

• Discretionary incentive award
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed