Finance Analyst

Samsung•Plano, TX

22h

About The Position

Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems. For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States—investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we’re creating smarter, sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd. To learn more, visit Samsung.com. For the latest news, visit news.samsung.com/us.

Requirements

Bachelor's degree in any field, but preferably in Finance, Engineering or Science) with 1–4 years of progressive, post-baccalaureate experience in financial analysis or a related role.
Strong business acumen: Understanding of commercial terms and the ability to assess potential impact and risk across business units.
Excellent communication skills: Ability to convey complex financial information clearly and effectively.
Cross-departmental collaboration: Experience working across departments to resolve urgent issues and drive solutions.
Technical proficiency: Strong skills in Excel; experience with SAP or other ERP systems is a plus.
Bilingual in Korean & English: Ability to communicate effectively in both languages.

Responsibilities

Manage department budget and forecasting: Enhance accuracy in month-end and year-end forecasting, with potential exploration of AI tools for improved insights.
Expense analysis and optimization: Monitor financial trends and expenditures, with an openness to leveraging AI for identifying cost-saving opportunities.
Financial reporting: Prepare ad-hoc reports efficiently, considering the potential use of AI-based systems to streamline processes.
Investment planning: Manage and update the investment module for the MX Division, with an eye toward integrating AI-driven insights for better decision-making.
Predictive financial modeling: Develop predictive models, exploring AI tools to improve budget allocation and project evaluation.
Workflow optimization: Review and update workflows based on company policies, with potential integration of AI solutions for enhanced efficiency.
Risk assessment: Evaluate financial risks, with an openness to employing AI models for actionable recommendations.
Collaboration with technical teams: Work closely with data scientists and AI specialists to explore the integration of AI technologies into financial workflows.