Senior, Data Analytics & Reporting

Cargill • Wayzata, MN

2d • Hybrid

About The Position

The Senior, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and building detailed reports and dashboards using specific tools. With minimal supervision, this role collaborates with cross-functional teams to ensure data accuracy and integrity, performs data and statistical analysis using various programming languages, and presents findings to partners to support business objectives. The position requires onsite (hybrid) presence at Cargill’s Midtown Atlanta Technology Hub or Wayzata, Minnesota Office Center.

Requirements

• At least 4 years of relevant work experience; the job typically reflects 5 or more years of relevant experience.

Nice To Haves

• Demonstrated ability to use AI tools to solve business problems, such as accelerating analysis, surfacing insights, automating workflows, or improving decision support.
• Experience building or prototyping AI-enabled applications, assistants, or workflow tools that address real user needs.
• Ability to combine AI with data analysis and programming to explore complex datasets, test ideas, and deliver useful, reliable solutions.
• Skill in translating business needs into clear AI use cases, evaluating results, and explaining the value and limitations of an AI solution to partners.
• Understanding of responsible AI practices, including validating outputs, protecting sensitive data, and applying appropriate human review.

Responsibilities

• Capture, process, prepare, and analyze complex datasets to extract significant insights.
• Develop and maintain automated reporting systems to streamline data analysis.
• Build detailed reports and dashboards and design data visualizations to communicate complex data clearly.
• Cultivate partner relationships to understand data needs, provide insights, identify improvement opportunities, and ensure reporting solutions address key objectives.
• Perform statistical analysis to identify trends, patterns, and anomalies using statistical software and programming languages.
• Identify opportunities to improve data collection and reporting processes and implement standard methodologies for data management and reporting.
• Collaborate with cross-functional teams, digital technology, and data engineering teams to understand data needs, identify value opportunities, and deliver solutions that ensure data integrity and accuracy.
• Coach and advise partners to mature data consumption and analytics capabilities.
• Conduct complex data analyses to uncover trends, patterns, and actionable insights for decision making.
• Ensure the accuracy, consistency, and security of data across reports and analyses.

Benefits

• Eligible for a discretionary incentive award dependent on company and personal 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: Senior
• Education Level: No Education Listed