Senior Financial Analyst, Product Consultant

Cargill•Shorewood, MN
•$120,000 - $170,000

About The Position

The Senior Financial Analyst, Product Consultant supports one or more FP&A products within the Plan & Forecast portfolio. The role partners with Product Owners to translate business needs into clear, testable requirements and well-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 DT&D and Analytics Engineering teams. 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 planning, forecasting, and AI-enabled products are trusted, usable, and deliver measurable value.

Requirements

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

Responsibilities

  • 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 with Product Owner priorities and FP&A Capability strategy.
  • 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.
  • Cultivates and maintains positive partner relationships, understands partner needs, provides insights, identifies improvement opportunities, and ensures solutions address key objectives.
  • Builds detailed reports and dashboards and designs and implements data visualizations to communicate complex data clearly.
  • Performs statistical analysis to identify trends, patterns, and anomalies in data.
  • Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
  • Collaborates with cross-functional teams and digital technology and data engineering teams to understand needs and value opportunities and deliver solutions that ensure data integrity and accuracy.
  • Coaches and advises others to mature data consumption and analytics capabilities.
  • Ensures the accuracy, consistency, and security of data across reports and analyses.

Benefits

  • Comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked.
  • Position is eligible for a 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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