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Reimagining what's possible for food and agriculture
The Role
Lead collection, processing, and analysis of complex datasets; build automated reports and Power BI dashboards; perform statistical analysis and data validation; partner with traders, product, and engineering teams to ensure data accuracy, drive process improvements, and present actionable insights.
Summary Generated by Built In
Job Purpose and Impact
Key Accountabilities
DEMONSTRATED BUSINESS EXPERIENCE
Qualifications
- The Senior Professional, 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.
DEMONSTRATED BUSINESS EXPERIENCE
- COMMODITY TRADING & PRICING ACUMEN: Strong understanding of commodity markets, including cash vs futures pricing, market structures, and how price data is used in trading, risk management, and P&L reporting.
- DATA RECONCILIATION & PROBLEM SOLVING: Proven ability to identify, analyze, and resolve data inconsistencies across multiple source systems; strong root-cause analysis mindset for complex data issues.
- STAKEHOLDER MANAGEMENT & INFLUENCE: Ability to work cross-functionally with business teams (traders, merchandising), technology (data engineering), and product teams; drive alignment and decisions in ambiguous situations.
- PROCESS IMPROVEMENT & DATA GOVERNANCE: Strong orientation towards improving processes, establishing data standards, and ensuring data quality, consistency, and integrity across the data lifecycle.
- DECISION-MAKING UNDER AMBIGUITY: Comfortable working with incomplete or conflicting data; able to define pragmatic business rules and assumptions to enable progress.
- COMMUNICATION & STORYTELLING: Ability to translate complex data and technical concepts into clear, business-friendly insights and recommendations for stakeholders.
- OWNERSHIP & ACCOUNTABILITY: Demonstrated ability to independently drive deliverables end-to-end, manage competing priorities, and take accountability for data outcomes.
Qualifications
- Minimum requirement of 7 years of relevant work experience. Typically reflects 10 years or more of relevant experience.
- More than 3 years experience in SQL and Power BI
- More than 1 year experience in Python
Skills Required
- Minimum 7 years of relevant work experience (typically reflects 10+ years).
- More than 3 years experience in SQL.
- More than 3 years experience in Power BI.
- More than 1 year experience in Python.
- Commodity trading and pricing acumen (cash vs futures, market structures, P&L reporting).
- Proven data reconciliation and root-cause problem solving across multiple source systems.
- Stakeholder management and influence with trading, merchandising, product, and data engineering teams.
- Process improvement orientation and data governance experience to ensure data quality and consistency.
- Strong communication and data storytelling to translate technical findings for business stakeholders.
- Ability to make decisions under ambiguity and take end-to-end ownership of deliverables.
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
