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Cargill

Senior, Data Analytics & Reporting

Reposted An Hour Ago
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Hybrid
Atlanta, GA
120K-150K Annually
Senior level
Hybrid
Atlanta, GA
120K-150K Annually
Senior level
Collects, processes, and analyzes complex datasets to produce actionable insights, automated reports, dashboards, and visualizations. Partners with cross-functional teams to ensure data accuracy, integrity, and effective decision-making. Performs statistical analysis, validates data, improves reporting processes, and coaches stakeholders on data consumption. Preferred experience includes applying AI tools, developing AI-enabled solutions, translating business needs into AI use cases, and following responsible AI practices.
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Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.
Job Purpose and Impact
  • The Senior, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With minimal 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 plays a key role in effectively presenting data findings to partners to meet business objectives.

Key Accountabilities
  • DATA COLLECTION & ANALYSIS: Captures, processes, prepares, and analyzes complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
  • STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
  • REPORTING & VISUALIZATION: Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
  • STATISTICAL ANALYSIS: Performs statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
  • PROCESS IMPROVEMENT: Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
  • COLLABORATION: Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
  • LITERACY: Coaches and advises to mature data consumption and analytics capabilities.
  • DATA ANALYSIS: Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
  • QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses.

Qualifications
  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Preferred qualifications
  • 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.

Additional:
  • The business will not sponsor applicants for work visas for this position
  • This position requires onsite (hybrid) presence at our Midtown Atlanta Technology Hub or Wayzata, MN Office Center

Additional Applicant Information
The expected salary for this position is $120,000- $150,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. 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.
At Cargill, we care about your safety and want your job search experience to be a positive one. Unfortunately, there are scams out there where individuals pretend to be Cargill recruiters to try to collect personal information or request payment. Please know that Cargill will never ask you for money during the hiring process, and in most cases, we only accept applications through our official careers site, with the exception of some roles in our production plants. If something doesn't feel right or you have questions, don't hesitate to contact us. To learn more, visit our Notice on Fraudulent Job Offers.
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