Job Purpose and ImpactThe 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 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.
- QUALITY ASSURANCE & DATA VALIDATION: Performs moderately complex reports and analyses in support of the accuracy, consistency, and security of data.
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QualificationsMINIMUM QUALIFICATIONS:
- Bachelor's degree in a related field or equivalent experience.
- Minimum requirement of 4 years of relevant work experience.
Compensation DataThe expected salary for this position is $85,000-$125,000. 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.
At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).
