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 Financial Analyst, Product Consultant supports one or more FP&A products within the Reporting & Performance portfolio, partnering with Product Owners to translate business needs into clear, testable requirements and well-defined product outcomes. This role bridges Finance and technology by analyzing FP&A processes, data, and user workflows and converting them into requirements, business rules, and definitions that DT&D and Analytics Engineering teams can deliver against. The role works closely with FP&A users, federated subject-matter experts, Controllership/A&FR, and delivery teams to ensure solutions reflect approved finance semantics, controls, and FP&A Capability standards. Through discovery, documentation, testing, and adoption support, the Product Consultant helps ensure that reporting, performance, and AI-enabled products are trusted, usable, and deliver measurable value.
Key Accountabilities
- DISCOVERY & REQUIREMENTS: Facilitates discovery with FP&A users and federated subject-matter experts to understand decisions, workflows, pain points, and controls. Elaborates needs into user stories, business rules, and testable acceptance criteria aligned to Product Owner priorities and FP&A Capability strategy.
- PROCESS & DATA ANALYSIS: Analyzes end-to-end FP&A processes, source data, hierarchies, and calculations to identify gaps, root causes, and dependencies. Documents data requirements, lineage needs, and fitness-for-purpose expectations in partnership with supporting teams.
- 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 standar