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Job Purpose and Impact

The Senior Financial Analyst, Product Consultant supports one or more FP&A products within the Plan & Forecast 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 planning, forecasting, 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.

• STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partner relationships to understand their  needs, provides insights and finds improvement opportunities, and ensures 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 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.
• QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses.

Qualifications

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in a related field or equivalent experience.
• Minimum requirement of 6 years of relevant work experience.

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Compensation Data

The expected salary for this position is $120,000-$170,000. 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).