Consultant, Data Analytics & Reporting 1

CargillMinnetonka, MN
$75,000 - $115,000

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 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 job collaborates with cross-functional teams to ensure data accuracy and integrity, performing data and statistical analysis using various programming languages. This job supports the effective presentation of data findings to partners to meet business objectives.

Requirements

  • Minimum requirement of 2 years of relevant work experience.
  • Typically reflects 3 years or more of relevant experience.

Nice To Haves

  • Proficiency with SQL, Power BI, Python or similar.

Responsibilities

  • Gathers, processes, prepares, and analyzes moderately complex datasets to extract significant insights.
  • Develops and maintains automated reporting systems to streamline data analysis.
  • Implements detailed reports and dashboards using various tools.
  • Designs and completes data visualizations to communicate moderately complex data clearly.
  • Supports statistical analysis execution to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
  • Implements found opportunities to improve data collection and reporting processes.
  • Applies standard methodologies for data management and reporting.
  • Works closely with multi-functional teams to support data needs and value opportunities.
  • Delivers solutions in partnership with digital technology and data engineering teams to help ensuring data integrity and accuracy.
  • Conducts moderately complex data analyses to uncover trends, patterns, and actionable insights for decision making.
  • Performs moderately complex reports and analyses in support of the accuracy, consistency, and security of data.

Benefits

  • Discretionary incentive award
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service