Samsung Ads · 3 days ago
Manager – Visual Display Financial Business Planning & Analytics (Englewood Cliffs, NJ)
700 Sylvan Ave Englewood Cliffs, NJ, USA
Full-time
Onsite
Senior Level, Lead/Staff
$120K/yr - $140K/yr
8+ years expSamsung Electronics America, Inc. (SEA) is a leader in mobile technologies and consumer electronics. The Sr. Manager – VD Financial Business Planning & Analytics will lead financial business planning and analytics initiatives for the Visual Display category, focusing on revenue growth, demand forecasting, and inventory optimization.
Marketing & Advertising
Responsibilities
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
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
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
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)
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
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
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
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
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
Qualification
Required
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
Preferred
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
Benefits
Medical
Dental
Vision
Life Insurance
401(k)
Employee Purchase Program
Tuition Assistance (after 6 months)
Paid Time Off
Student Loan Program (after 6 months)
Wellness Incentives
Company
Samsung Ads
Samsung Ads helps consumers discover relevant content and brands across Smart TVs, mobile, and desktop.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Kimberly Lauterbach
Head Of Business Operations
Recent News
2025-12-16
2025-12-15
Company data provided by crunchbase