Financial Analyst, Procurement Finance

Reporting to the Supply Chain Finance Manager, this role serves as a financial analyst and technical resource within the Economic Research team, performing moderately complex research and analysis under limited supervision. The position supports economic and commodity research through data analysis, forecasting, reporting automation, dashboard development, and technical tool creation. Responsibilities include maintaining and enhancing economic data models, recurring reports, and analytical processes used to evaluate market trends, cost drivers, risks, and opportunities impacting the business.

The role partners with Finance, Procurement, Supply Chain, IT, and other business stakeholders to translate complex data and economic indicators into accurate, scalable, and actionable insights. Additionally, the position supports business partnering, Annual Operating Plan (AOP) development, strategic planning, monthly forecasting, reporting, period close activities, and the identification and investigation of issues related to assigned projects, presenting analysis and recommendations to management as needed.

Minimum 3 years of related financial, analytical, economic research, technical reporting, or business analysis experience required.

• Monitor and analyze economic indicators, commodity markets, supplier cost drivers, and industry trends to support financial planning, forecasting, sourcing decisions, and strategic business recommendations.
• Serve as a technical resource for the Economic Research team by developing, maintaining, and improving data models, reporting tools, dashboards, templates, and automated processes.
• Compile, validate, transform, and reconcile data from internal systems and external market sources; ensure data is accurate, standardized, well-documented, and fit for recurring analysis.
• Build and maintain scalable reporting solutions using tools such as Excel, Power Query, Power BI, SAP extracts, Bloomberg, and other internal or external data platforms.
• Develop financial models, commodity trackers, dashboards, and recurring reports that explain current market conditions, historical trends, forecast assumptions, and potential business impacts.
• Support AOP, strategic plan, and monthly forecast processes by providing economic assumptions, commodity outlooks, inflation/deflation analysis, sensitivity analysis, and risk commentary.
• Partner with Finance, Procurement, Supply Chain, IT, and category teams to improve data flows, troubleshoot reporting issues, automate manual processes, and strengthen analytical capabilities.
• Prepare clear, concise analysis and presentations for leadership, including commentary on key market movements, cost pressures, forecast changes, data limitations, and recommended actions.
• Investigate unusual data movements, pricing discrepancies, source inconsistencies, or changes in market assumptions and provide fact-based explanations and recommendations.
• Establish and maintain documentation for data sources, calculations, methodologies, reporting logic, refresh processes, and recurring deliverables.
• Participate in cross-functional projects related to economic research, commodity reporting, budgeting, forecasting, sourcing analytics, system improvements, and business performance analysis.
• Provide ad hoc financial, commodity, technical reporting, and economic analysis as business needs evolve.

• Bachelor’s degree in Finance, Economics, Accounting, Business Analytics, Information Systems, Data Analytics, or related field required.
• 3+ years of professional experience in financial analysis, FP&A, economic research, commodity analysis, procurement finance, business intelligence, data analytics, or technical reporting.
• Strong analytical and technical skills with the ability to work with large data sets, identify trends, troubleshoot data issues, explain variances, and translate findings into business insights.
• Experience with forecasting, budgeting, market analysis, financial modeling, performance reporting, dashboard development, and recurring report automation.
• Advanced proficiency in Microsoft Excel, including complex formulas, data modeling, Power Query, and structured reporting processes.
• Experience with Power BI, SAP, Bloomberg, SQL, Right Angle, or other data visualization, database, automation, or reporting tools preferred.
• Demonstrated ability to research external market data sources, evaluate data quality, document assumptions, and clearly…