Consultant, Data Modeling & Analytics Reporting - Bioindustrial

Cargill • Wayzata, MN

4d

About The Position

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

The position gathers and prepares data, develops and maintains automated reporting systems, creates visualizations, supports statistical analysis, improves data collection and reporting processes, and works with digital technology and data engineering teams to help ensure data integrity and accuracy. It also performs analyses and quality checks that support accurate, consistent, and secure data.

Requirements

• At least 2 years of relevant work experience; the posting says this typically reflects 3 or more years of relevant experience.

Nice To Haves

• 2 or more years of experience in chemicals manufacturing, sales, procurement, or supply chain.
• 2 or more years of experience using SQL and Power BI to build analytics solutions.
• 2 or more years of experience working with SAP and Salesforce data object structures.
• 2 or more years of experience working in a global team and company.

Responsibilities

• Gather, process, prepare, and analyze moderately complex datasets to extract insights.
• Develop and maintain automated reporting systems to streamline data analysis.
• Implement detailed reports and dashboards using various tools, and create visualizations that clearly communicate moderately complex data.
• Support statistical analysis to identify data trends, patterns, and anomalies using statistical software and programming languages.
• Implement opportunities to improve data collection and reporting processes and apply standard data management and reporting methodologies.
• Collaborate with multifunctional teams to support data needs, identify value opportunities, and deliver solutions with digital technology and data engineering teams.
• Conduct moderately complex analyses to uncover trends, patterns, and actionable insights for decision-making.
• Perform reports and analyses to support data accuracy, consistency, and security.

Benefits

• Eligible for a discretionary incentive award dependent on company and individual performance.
• Minnesota Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 48 hours per calendar year unless otherwise provided by law.

What This Job Offers

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