Consultant, Data Analytics & Reporting

About the role

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.

The Professional, Data & Analytics Reporting role is responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights and building 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.

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 of 2 years of relevant work experience (typically reflects 3 years or more).
• Proficiency with SQL, PowerBI, Python, or similar tools (preferred).
• 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: Accrual of one hour for every 30 hours worked, up to 48 hours per calendar year unless otherwise provided by law.