Financial Analyst, Product Consultant

Cargill•Shorewood, MN
•$85,000 - $125,000

About The Position

The Financial Analyst, Product Consultant supports one or more FP&A products within the Reporting & Performance portfolio. Partnering with Product Owners, the role translates business needs into clear, testable requirements and defined product outcomes. It bridges Finance and technology by analyzing FP&A processes, data, and user workflows and converting them into requirements, business rules, and definitions for delivery by DT&D and Analytics Engineering teams. The role works 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.

Requirements

  • Bachelor’s degree in a related field or equivalent experience.
  • Minimum of 4 years of relevant work experience.

Responsibilities

  • Facilitate discovery with FP&A users and federated subject-matter experts to understand decisions, workflows, pain points, and controls.
  • Elaborate business needs into user stories, business rules, and testable acceptance criteria aligned with Product Owner priorities and FP&A Capability strategy.
  • Analyze end-to-end FP&A processes, source data, hierarchies, and calculations to identify gaps, root causes, and dependencies.
  • Document data requirements, lineage needs, and fitness-for-purpose expectations in partnership with supporting teams.
  • Support statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages.
  • Implement opportunities to improve data collection and reporting processes and apply standard methodologies for data management and reporting.
  • Collaborate with multifunctional teams, digital technology, and data engineering teams to support data needs and value opportunities and help ensure data integrity and accuracy.
  • Perform moderately complex reports and analyses to support data accuracy, consistency, and security.
  • Support product testing and adoption through discovery, documentation, and related activities.

Benefits

  • Comprehensive benefit program, including medical and/or other benefits depending on the position offered and hours worked.
  • Discretionary incentive award dependent on company and personal performance.
  • Minnesota Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 48 hours per calendar year unless otherwise provided by law.
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