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Reimagining what's possible for food and agriculture
The Role
Collect, process, and analyze moderately complex datasets; build and maintain automated reports and dashboards; perform statistical analysis and data validation; collaborate with cross-functional teams to ensure data integrity and drive actionable insights; implement process improvements for reporting and data management.
Summary Generated by Built In
Job Purpose and Impact
Key Accountabilities
Qualifications
- The Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With limited 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 supports the effective presentation of data findings to partners to meet business objectives.
Key Accountabilities
- DATA COLLECTION & ANALYSIS: Gathers, processes, prepares, and analyzes moderately complex datasets to extract significant insights, develop and maintain 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 found opportunities to improve data collection and reporting processes and applies standard methodologies for data management and reporting.
- COLLABORATION: Works closely with multi-functional teams to support data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to help ensuring 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 in support of the accuracy, consistency, and security of data.
Qualifications
- Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.
Skills Required
- Minimum 2 years relevant work experience (typically 3+ years)
- Experience gathering, processing, and preparing moderately complex datasets
- Experience building and maintaining automated reporting systems, reports, and dashboards
- Proficiency with statistical analysis and programming languages for data manipulation and analysis
- Experience performing data validation, quality assurance, and ensuring data integrity
- Experience collaborating with cross-functional and data engineering teams
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Retirement Support — Cargill offers immediate 401(k) eligibility with a defined employer match, alongside additional vehicles such as an ESOP and company-supported tools for savings. Feedback suggests these features make long-term retirement readiness a strong part of the total package.
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Leave & Time Off Breadth — Paid time off scales meaningfully with tenure on a clear annual cycle, and paid family leave covers both bonding with a new child and caregiving needs. Feedback suggests the combined PTO and leave programs compare favorably with common large-employer offerings.
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Parental & Family Support — Adoption and surrogacy reimbursement, Bright Horizons childcare solutions, and Milk Stork complement the paid family leave program. These resources indicate a family-forward design that supports key life events and caregiving logistics.
Cargill Insights
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
