Sr Financial Analyst – Strategic Modeling & Analytics

Role overview

Strategic financial modeling and analysis

• Develop models for strategic planning, network optimization, sourcing, manufacturing transfers, capacity planning, and supply-chain initiatives.
• Run what-if scenarios to quantify financial and operational impacts of decisions.
• Build executive business cases describing risks, opportunities, assumptions, and recommendations.
• Perform ad hoc analysis and assess product, operational, and supply-chain performance for cost, margin, and efficiency opportunities.
• Research industry, macroeconomic, and geopolitical trends and communicate findings in executive presentations.

Modeling architecture and analytics enablement

• Improve modeling tools, datasets, and analytical frameworks for Operations Finance and Strategic Operations.
• Develop scalable data connections and automated pipelines with Data & Analytics teams.
• Improve data access, governance, system integration, and model efficiency while reducing manual processes.
• Support simulation tools and advanced analytics for long-range planning and scenario testing.
• Standardize assumptions, inputs, and methodologies; develop reporting and visualization tools.

Partnership and communication

• Collaborate across Finance, Supply Chain, Operations, Manufacturing Engineering, Strategic Operations, and Product teams to turn business needs into analytical solutions.
• Influence decisions with objective analysis and recommendations; communicate to technical teams and executives.
• Manage multiple projects and priorities while maintaining accuracy and attention to detail.

Requirements

• Bachelor's degree in Finance, Accounting, Economics, Supply Chain, Engineering, Data Analytics, Business, or a related field.
• Four or more years in Finance, FP&A, Operations Finance, Manufacturing Finance, Supply Chain Analytics, or related analytical work.
• Experience building financial, operational, or statistical models from concept through implementation.
• Strong analytical and problem-solving skills, including synthesis of large and complex datasets.
• Advanced Microsoft Excel skills.
• Experience preparing executive presentations and communicating complex analysis; strong communication, collaboration, stakeholder management, and attention to detail.

Preferred qualifications

• Experience with Power BI, Tableau, SQL, Databricks, Python, or similar data visualization and analytics tools.
• Experience supporting manufacturing, operations, or supply-chain organizations.
• Understanding of product costing, absorption, and margin analysis.