Associate Consultant, Data Analytics & Reporting

Requirements

• No minimum years of relevant experience required. Typically reflects 2 years or more of relevant experience.
• The business will not sponsor applicants for work visas for this position.
• #LI-NS7
• Additional information for Applicants based in Minnesota
• 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.
• Equal Opportunity Employer, including Disability/Vet

Additional Information

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 are committed to serving 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. Job Purpose and Impact The Associate Professional, Data & Analytics Reporting job collects, processes and analyzes routine datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With close supervision, this job assists cross functional teams to support data accuracy and integrity by performing basic data and statistical analysis using various programming languages. This job assists with the effective presentation of data findings to partners to meet business objectives. Key Accountabilities DATA COLLECTION & ANALYSIS: Collects, processes, prepares, and analyzes routine datasets to extract significant insights and maintain automated reporting systems to streamline data analysis. REPORTING & VISUALIZATION: Supports the implementation of detailed reports and dashboards using various tools, assists the design and completes data visualizations to communicate basic data clearly. STATISTICAL ANALYSIS: Assists with statistical analysis execution to collaborate with the team on trends, patterns, and anomalies identification in data using basic statistical software and programming languages for data manipulation and analysis. PROCESS IMPROVEMENT: Collaborates with the team to improve data collection and reporting processes using standard methodologies for data management and reporting. COLLABORATION: Assists the team with multi-functional teams requirements in support of data needs, value opportunities and delivers solutions to help ensuring data integrity and accuracy. DATA ANALYSIS: Conducts basic data analyses to uncover trends, patterns, and actionable insights for decision making. QUALITY ASSURANCE & DATA VALIDATION: Performs routine reports and analyses in support of the accuracy, consistency, and security of data.

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