Position Summary

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.

The Samsung direct-to-consumer ecommerce team is looking for a Manager of Business Planning and Supply Chain analytics to drive both short term and long term business planning for Mobile business. This candidate will play a critical role to manage weekly/monthly/quarterly sales forecast, P&L analysis with high accuracy using category specific business intelligence, sales analytics, promotional analysis and build statistical models based on Ecommerce sales drivers. The candidate will be responsible to build detailed demand forecasting, conduct advanced supply chain analytics to optimize overall business and supply chain performance.
Operating with a strategic business and supply chain analytics mindset, this position owns the analytical and planning models for the assigned Mobile category by leveraging advanced Excel-based modeling, enterprise BI platforms (Tableau), SQL analytics, and predictive forecasting methodologies. The role serves as a technical and analytical bridge between Supply Chain, Finance, Category Management, and Operations teams — translating complex, ambiguous business challenges into scalable, repeatable data-driven planning and supply chain solutions.

Role and Responsibilities

Role and Responsibilities

1. Business Planning & Promotional Analytics

Own quantitative analytical frameworks supporting end-to-end category business planning, including revenue, units, ASP, margin, P&L, sell-through, and inventory health metrics.
Develop weekly, monthly, and quarterly sales forecasts for both quantity and revenue using multi-variable bottom-up modeling (traffic, seasonality, promotions, channel mix).
Build and maintain category-level and SKU-level P&L models with scenario simulations across pricing, promotions, assortment mix, and inventory positioning.
Conduct sell-out risk and opportunity analysis; develop financial performance views and gap-vs-target assessments to drive corrective actions with Category Management.
Lead and Own Quarterly Commercial forecasting model for the assigned categories.
Lead promotional analytics including attribution modeling, price elasticity analysis, and ROI/financial analysis across all DTC sales channels and platforms.
Build and maintain a promotional playbook using quantitative lift models to recommend and optimize promotions that achieve category revenue and margin goals.
Evaluate ecommerce sales drivers (traffic, conversion rate, attachment rate) and model the impact of promotions on different sales platforms (e.g., Employee Purchase Plan, seasonal launches) to improve forecast accuracy.
Develop executive-ready performance readouts with clear insights, implications, and data-backed recommendations for leadership reviews.

2. Business Intelligence, KPI reporting and Analytics

Architect and govern enterprise-level Tableau dashboards delivering real-time and historical visibility into DTC business planning and supply chain performance metrics.
Implement advanced BI features using Tableau, and blended data sources to support category-level decision-making for sales, supply chain and financial metrics.
Design executive scorecards that function as a governed analytical layer, consolidating business planning and supply chain health indicators and KPIs, such as Sellout Achievement rate, Demand vs RTF shortage, inventory turns/Weeks of supply, aging metrics and financial targets into a single decision-support framework using PSI (Production, Sales, Inventory) Dashboard.
Automate recurring reporting workflows, reducing manual dependencies and improving accuracy and operational efficiency for planning cycles using advanced excel and RPA.
Perform historical back-testing and scenario simulation to improve forecast accuracy for new products and seasonal planning cycles.
Develop automated weekly, monthly, and quarterly reporting systems to support technical business reviews and executive decision-making.
Translate analytical outputs into quantitative, data-backed recommendations for senior leadership — including funnel decomposition and pricing/elasticity modeling.

3. Supply Chain Analytics & Demand Signal Management

Lead supply chain planning for the assigned category — managing demand loading, PSI (Production, Sales, Inventory), and S&OP processes to ensure adequate supply with no excess inventory.
Monitor inventory coverage, sell-through, weeks of supply, aging, and out-of-stock risk using quantitative thresholds and predictive demand signals.
Identify early demand shifts and inventory risks; partner with Supply Chain and Operations on corrective actions and inventory clearance strategies.
Drive supply chain transition and transformation by integrating demand plans, supply plans, financial outlooks, and target plans for long-term sustainable business performance.
Own Buy Box management with ecommerce operations tools; manage SKU-level mix optimization to balance growth, margin protection, and operational efficiency. Report on out of stocks and build predictive models to reduce out of stock.

4. Advanced Quantitative Modeling, Forecasting & Excel Automation

Build and maintain quantitative models in Excel using advanced excel, scenario analysis and sensitivity modeling to support: revenue and demand forecasting; inventory optimization and risk modeling; promotional lift, elasticity, and ROI analysis.
Develop VBA/Macro-based automation to streamline recurring planning and analytical workflows, improving reproducibility and reducing manual errors.
Enable stakeholders to perform structured what-if analyses via scalable, parameter-driven modeling frameworks for promotional and pricing strategies.
Improve long-term forecasting accuracy by applying advanced analytical and ML/AI methodologies such as using ARIMA, Exponential smoothing and Prophet models based on historical data and category-specific business drivers.

6. SQL & Workflow Automation

Design, write, and optimize complex SQL queries to process and analyze large structured datasets at scale for business planning and supply chain to consolidate finance, supply chain and ecommerce data.
Perform SKU-level and funnel-level analyses to identify statistically significant drivers of conversion, revenue, and margin performance.
Eliminate manual reporting dependencies through workflow automation, improving system reliability, accuracy, and operational efficiency across planning and supply chain.

8. Cross-Functional Leadership & Stakeholder Collaboration

Partner with Category Management, Finance, Operations, and Supply Chain teams to align on forecast, business plan, risk vs opportunity analysis with analytical insights.
Lead cross-functional stakeholders through structured analytical; create compelling data-driven presentations, excel reports for executive and leadership reviews.
Define gap-vs-target and work with Category Managers to drive gap closures.

Skills and Qualifications

Skills and Qualifications

Education — Required

Bachelor's or Master's degree in Engineering, Information Technology, Data Analytics, Statistics, Industrial Engineering, Applied Mathematics, Economics, Nutrition/medicine or a related quantitative/STEM discipline.

Master's in Business Analytics, Information Technology, MBA or supply Chain Management or equivalent advanced degree is a plus.

6+ years of total experience with advanced analytics for national retailer, consumer electronics or ecommerce/retail is required.

Technical Skills & Experience — Required

Advanced Excel: VBA/Macros, Power Query, quantitative modeling, scenario analysis, and sensitivity modeling and ability to handle multiple complex Excel files is essential with attention to detail.
Business Intelligence: Expert Tableau knowledge for enterprise-level reporting and decision support and to use the data.
Statistical & Predictive Modeling: Experience building bottom-up forecasting models, ML/AI-based demand forecasting, promotional lift and elasticity models, and P&L simulations.
Promotional analytics: Hands-on knowledge and experience with Promotional analytics to build price-elasticity models and promotional lift
Supply Chain analytics: Expertise working on stock out prediction, inventory analytics with store/site level analytics is highly desired.
Industry Experience: 6+ years of experience in ecommerce/national retailer business planning, supply chain analytics, product/category management, or data-intensive operational environments.
Product management/category management analytics to conduct advanced analytics and financial analytics is a plus
Hands-on experience with financial analysis, P&L simulations, and revenue gap/opportunity modeling.

Preferred Qualifications

Exposure to pricing analytics, category management, demand planning, or supply chain analytics for a large business for a national retailer or consumer electronics company.
Strong experience working with large, multi-source datasets and ambiguous technical problem statements.
Cross-functional leadership experience owning Sales, Account, and Supply Chain Operations.
Experience of working with Consumer Electronics, Telecom, Technology, and/or Retail industries is strongly preferred.
Excellent technical communication and data storytelling skills for executive audiences; strong Microsoft PowerPoint capabilities.
High level of confidence, integrity, and executive presence; adaptable and able to pivot quickly in a fast-paced environment.

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