Job Description
Job Description
Sr. Financial Analyst
Our trusted client is seeking an experienced Senior Financial Analyst for a long-term engagement. You will play a critical role in analyzing financial data, forecasting trends, and driving insights to support decision-making within a global manufacturing environment. This is an excellent opportunity to contribute your expertise in financial modeling and data analytics while collaborating with key stakeholders across multiple divisions. This is a hybrid position based in Farmington Hills, MI.
The day-to-day responsibilities include:
• Analyze and forecast current-year purchase price variance globally, utilizing established tools and reporting systems.
• Collaborate closely with manufacturing sites, commodity purchasing teams, and division management to ensure alignment on financial metrics and reporting.
• Develop and maintain financial models to evaluate performance and support strategic decision-making.
• Conduct detailed variance analyses to identify trends and opportunities for cost optimization.
• Utilize Power BI and Excel to manage and present data effectively, ensuring accurate and actionable insights.
• Perform inventory valuation and provide insights into purchase order processes to enhance financial reporting.
• Support data mining efforts to uncover patterns and improve forecasting accuracy.
• Provide regular updates and presentations to management on key financial indicators and metrics.
• Work closely with cross-functional teams to improve financial processes and streamline reporting practices.
The ideal candidate will have the following skill set:
• Minimum of a bachelor’s degree in Accounting, Finance, or IT.
• At least 5 years of experience in financial analysis within a manufacturing environment, demonstrating attention to detail.
• Proficiency in financial modeling, variance analysis, and forecasting techniques.
• Advanced skills in data analytics tools, particularly Power BI and Excel.
• Strong understanding of inventory valuation and purchase order processes.
• Ability to manage and analyze large datasets using data mining techniques.
• Excellent communication skills for collaborating with various stakeholders and presenting findings.
• Detail-oriented with a strong ability to meet deadlines and prioritize tasks effectively.