Manager – Visual Display Financial Business Planning & Analytics (Englewood Cliffs, NJ)

Samsung Electronics•Englewood Cliffs, NJ

1d•$120,000 - $140,000

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 network 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. The Sr. Manager – VD Financial Business Planning & Analytics will lead financial business planning and analytics initiatives for the VD (Visual Display) category within the eCommerce organization. This role will focus on optimizing revenue growth, demand forecasting, inventory optimization, and data-driven decision-making to achieve quarterly and annual revenue targets.

Requirements

Bachelor's degree in Finance, Economics, Data Analytics, or a related STEM field.
8+ years of experience in financial planning, analytics, or a related field.
Strong expertise in demand forecasting, inventory optimization, and financial modeling.
Proficiency in SQL, Tableau, and advanced data analysis techniques.
Experience in leading cross-functional teams and managing complex projects.

Nice To Haves

Master's degree in Finance, Economics, Data Analytics, or a related STEM field.
Experience with machine learning algorithms, statistical modeling, and predictive analytics.
Familiarity with ARIMA, exponential smoothing, neural networks, and other advanced forecasting techniques.
Proven track record in strategic revenue management and performance optimization.

Responsibilities

Financial Planning & Forecasting: Submit SKU-level forecasts and Monthly Financial Plans for all business units. Lead CPFR (Collaborative Planning, Forecasting, and Replenishment) calls with PSI (Product Supply Integration) and BOPIS (Buy Online Pickup In Store) teams alongside Product Management teams. Report weekly Achievement Rates to Forecast rates for WBR (Weekly Business Review) and prepare SCM (Supply Chain Management) day content for LOB (Line of Business) leadership.
Performance Analysis & Reporting: Analyze traffic, CVR (Conversion Rate), and funnel performance versus marketing team forecasts, identifying gaps and reporting back to Category Management and WBR. Manage VD Aging and TP Accuracy metrics, collaborating with Fulfillment on in-stock and forecasting accuracy metrics. Develop QCD Plans (Demand Revenue, Financial Revenue, SD, Profit %) for the VD business in collaboration with the CM team based on promotional plans and activities.
Inventory & Supply Chain Optimization: Address backorders and inventory supply issues (CTN model planning + new SKU forecast management) in close coordination with Category Management. Lead demand forecasting efforts using advanced data modeling techniques such as ARIMA, exponential smoothing, and neural networks to align with supply chain teams. Utilize predictive analytics to anticipate demand fluctuations and optimize inventory levels, minimizing stockouts and excess inventory.
Promotional & Financial Analysis: Create financial program templates for lift assessment and profitability analysis, ensuring alignment and approvals from Finance. Employ A/B testing, hypothesis testing, and ROI analysis to evaluate promotional effectiveness, refine targeting strategies, and maximize return on investment (ROI).
Strategic Revenue Management: Own financial business planning to achieve quarterly and annual revenue targets for the category. Develop and implement analytical frameworks leveraging machine learning algorithms and statistical modeling to identify growth opportunities.
Data-Driven Decision Making: Conduct complex data analysis using SQL queries to extract insights from Tableau and integrated databases. Leverage statistical methods, time-series forecasting, and regression analysis to refine strategic decisions based on weekly performance reviews.
Performance Monitoring & Optimization: Prepare status updates on key activities and programs using SQL queries to analyze performance data. Utilize KPI dashboards, anomaly detection algorithms, and root cause analysis to monitor program effectiveness and recommend improvements.
Funnel Analysis & Conversion Rate Optimization: Assess traffic and conversion rates (CVR) for the Category Configurator, conducting funnel analysis (upper, mid, lower funnel) to identify optimization opportunities. Apply techniques such as logistic regression, decision trees, and Monte Carlo simulations to refine conversion strategies.
Performance Metrics Analysis: Analyze detailed performance metrics by sellout platform, applying statistical techniques, forecasting models, and data visualization to identify trends. Use benchmarking against industry standards, hypothesis testing, and variance analysis to evaluate cross-platform performance.