Senior FP&A Data Analyst

Position Summary

MTE is seeking a highly analytical Senior FP&A Analyst to support financial planning, forecasting, reporting, and strategic decision-making across the organization. This role will partner closely with finance, operations, sales, and executive leadership to translate business performance into actionable financial insights.

In addition to traditional FP&A responsibilities, this individual will help advance MTE's data analytics and AI capabilities by improving reporting processes, automating analyses, developing business intelligence tools, and identifying opportunities to leverage emerging technologies to enhance decision-making.

This is an opportunity for someone who enjoys both financial analysis and data-driven problem solving and wants to help shape the future of analytics and AI within a growing manufacturing company.

Key Responsibilities

Financial Planning & Analysis

• Support annual budgeting, forecasting, and long-range planning processes
• Prepare monthly financial analyses, variance reporting, and management presentations
• Develop driver-based financial models for revenue, gross margin, operating expenses, and cash flow
• Analyze business performance and identify opportunities to improve profitability and operational efficiency
• Support capital expenditure analysis and investment decisions
• Assist with executive reporting requirements

Business Analytics & Reporting

• Develop and maintain dashboards and analytical reporting tools
• Improve visibility into key business drivers including:
• Revenue
• Gross margin
• Inventory
• Pricing
• Productivity
• Customer profitability
• Partner with operations and commercial teams to quantify the financial impact of business initiatives
• Automate recurring reporting processes and reduce manual spreadsheet work

Data & AI Enablement

• Identify opportunities to enhance financial and operational decision-making through data analytics and AI tools
• Support development of predictive and driver-based forecasting capabilities
• Explore practical AI applications in FP&A, forecasting, reporting, and business analysis
• Partner with IT and business leaders on data quality, reporting, and analytics initiatives
• Help establish best practices for data governance and business intelligence