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Rochester Sensors LLC in Coppell, TX seeks a Financial Analyst to drive financial health and strategic decision-making in a manufacturing setting. You will analyze data, build models, and prepare reports to inform budgeting, forecasting, and investments.
Collaboration with cross-functional teams will identify cost-saving opportunities and optimize financial outcomes. The role requires strong Excel skills, experience in financial modeling, and a solid foundation in accounting principles, with a
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Full Time Clerical/Admin Coppell, TX, US
The Financial Analyst in the manufacturing sector plays a critical role in driving the financial health and strategic decision-making of the organization. This position is responsible for analyzing financial data, developing detailed financial models, and preparing comprehensive reports that inform budgeting, forecasting, and investment decisions. The analyst will collaborate closely with cross-functional teams to evaluate business performance, identify cost-saving opportunities, and support corporate finance initiatives. By applying accounting principles and advanced analytical techniques, the role ensures accuracy and integrity in financial planning and reporting. Ultimately, the Financial Analyst contributes to optimizing financial outcomes and supporting sustainable growth within the manufacturing environment.
The required skills are applied daily to analyze complex financial data and develop models that forecast business performance and support strategic planning. Financial analytical skills enable the identification of trends and variances that impact profitability, while proficiency in financial modeling and pivot tables allows for efficient data manipulation and scenario analysis. A strong grasp of accounting principles ensures compliance and accuracy in financial reporting. Macros are used to automate repetitive tasks, increasing productivity and reducing errors. Preferred skills such as ERP system knowledge and data visualization enhance the ability to communicate insights effectively and integrate financial data with operational metrics, supporting comprehensive business analysis.