Senior Financial Analyst

About the company: Our client is an advanced aerospace manufacturing company specializing in precision-engineered components and systems for commercial and defense applications. With state-of-the-art facilities, certified quality processes, and end-to-end capabilities from design to full-scale production, the company delivers high-performance structural parts, composite assemblies, and custom-engineered solutions to major OEMs and government customers. Committed to innovation, reliability, and continuous improvement, The company supports the aerospace industry with mission-critical products that enhance safety, efficiency, and technological advancement. Requirements: · Bachelors degree in Finance, Accounting, Economics, or related field; MBA or CPA a plus. · 4–7 years of progressive financial analysis or corporate finance experience. · Expertise in Excel modeling, data visualization, and business analytics tools (e.g., Power BI, Tableau). · Strong understanding of GAAP principles and financial reporting. · Experience in manufacturing or aerospace industry preferred. · Ability to translate complex data into clear, actionable insights. · Excellent communication, problem-solving, and time management skills. · Experience working cross-functionally with operations, accounting, and executive teams. Day to Day Responsibilities: The Senior Financial Analyst supports strategic decision-making through insightful analysis and forecasting. This role drives financial accuracy, identifies performance trends, and partners with leadership to optimize business results and resource allocation. · Develop and maintain detailed financial models for forecasting and budgeting. · Analyze monthly performance, variances, and key metrics versus plan. · Provide actionable insights and recommendations to management. · Prepare reports and presentations for executive review. · Support annual budget, quarterly reforecasting, and long-term planning processes. · Collaborate with business unit leaders to assess ROI and cost optimization. · Continuously improve reporting tools, data accuracy, and analytical processes.