FP&A Data Analyst

About the Role

We are seeking a highly analytical, intellectually curious professional to join our finance team in a hybrid FP&A and Data Analytics role with growing exposure to AI-enabled tools and capabilities
.

This position is ideal for someone early in their career who wants to go beyond traditional FP&A and help build the next generation of data-driven decision-making in a manufacturing environment.

You will work across functions to:

• Improve visibility into key business drivers
• Automate and enhance reporting
• Develop data models and dashboards
• Support forecasting and financial planning
• Assist in piloting practical AI use cases

This is a high-impact, high-growth role designed for an individual who wants to build a career at the intersection of finance, data, and AI. You will play a key role in shaping how data is used to drive performance across the organization.

• Develop and maintain dashboards and reports across functions and areas of the business
• Work with ERP and operational data to build clean, reliable datasets
• Automate recurring reporting and reduce reliance on manual Excel processes
• Analyze business performance and identify trends, risks, and opportunities

• Support monthly forecasting, budgeting, and variance analysis
• Build and enhance driver-based financial models (volume, mix, cost, efficiency)
• Translate operational metrics into financial impact
• Assist with:
• - Pricing/Margin analysis
• Cost reduction initiatives
• Working capital and inventory insights

• Support evaluation and implementation of practical AI use cases
  , such as:
• - Demand or lead-time forecasting
• Operational trend and anomaly detection
• Inventory optimization
• Use tools such as:
• - Claude, Copilot and other AI tools
• Power BI/Tableau reporting features
• Python
• Help embed insights into daily decision-making processes

• Bachelor's degree in:
• - Finance, Accounting, Data Analytics or related field
• 2–5 years of experience in:
• - FP&A, financial analysis or data/operations analytics
• Advanced Excel skills (modeling, data analysis)
• Experience with Power BI, Tableau or similar tools
• Strong analytical and problem-solving skills
• Ability to communicate clearly with both technical and non-technical teams
• Fluency in English (additionally Spanish is a strong plus)
• Exposure to:
• - ERP systems (SAP, Oracle, Epicor, etc.)
• SQL or database querying
• Python or similar tools
• Experience with AI / machine learning applications

Compensation: TBD