Assistant Manager, Commercial Finance Analysis - Samsung

You will support the Commercial Finance team by providing financial insights and analysis to drive business decisions. This role involves collaborating with various departments to understand their financial needs and ensuring accurate reporting. You will be responsible for preparing monthly reports and analyzing key performance indicators to support strategic planning. The position requires a proactive approach to identifying trends and opportunities for cost optimization within the organization.

You will work closely with cross-functional teams to develop financial models and forecasts that align with business objectives. Your work will directly impact the company's profitability and operational efficiency. The role demands strong analytical skills and the ability to communicate complex financial data clearly to stakeholders at all levels. You will also assist in the budgeting process and provide recommendations for financial improvements.

• Prepare and analyze monthly financial reports and key performance indicators
• Collaborate with cross-functional teams to understand business requirements and financial needs
• Develop and maintain financial models for forecasting and scenario planning
• Assist in the budgeting process and provide recommendations for cost optimization
• Identify financial trends and opportunities to improve profitability and operational efficiency
• Communicate complex financial data to stakeholders in a clear and concise manner

• Bachelor's degree in Finance, Accounting, or a related field
• 3-5 years of experience in commercial finance or financial analysis
• Strong proficiency in Microsoft Excel and financial modeling
• Solid understanding of financial reporting standards and accounting principles
• Excellent analytical and problem-solving skills
• Strong communication and interpersonal skills

• Experience with ERP systems (e.g., SAP)
• Professional accounting certification (e.g., CPA, ACCA)
• Experience in a fast-paced corporate environment
• Advanced knowledge of data visualization tools (e.g., Power BI, Tableau)