FP&A Data Analyst
About The Position
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, and 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.
Requirements
- 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
- Exposure to ERP systems (SAP, Oracle, Epicor, etc.)
- Exposure to SQL or database querying
- Exposure to Python or similar tools
- Experience with AI / machine learning applications
Nice To Haves
- Spanish is a strong plus
Responsibilities
- 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
- Assist with Cost reduction initiatives
- Assist with 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, and inventory optimization
- Use tools such as Claude, Copilot and other AI tools, Power BI/Tableau reporting features, and Python
- Help embed insights into daily decision-making processes
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
