Senior Manager – Ecommerce Business Planning & Analytics

Samsung Electronics•Plano, TX

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. Role and Responsibilities The Samsung Direct-to-Consumer (DTC) eCommerce team is seeking a Senior Manager, Ecommerce Business Planning & Analytics to lead short- and long-term planning for the Mobile business. This is a high-impact leadership role operating at the intersection of Strategy, Analytics, Financial Planning & Analysis (FP&A), and Operational execution. This leader will own end-to-end business planning, including sales forecasting, P&L oversight, financial performance management, and executive reporting at the Category, Product, and SKU levels. The role drives weekly, monthly, and quarterly forecasting processes; develops forward-looking financial outlooks; and leverages category-specific business intelligence, promotional analytics, and ecommerce performance drivers to improve forecast accuracy and profitability. Operating with strong ownership and analytical rigor, this individual will build advanced financial and statistical models using Excel, Tableau, SQL, and predictive methodologies including Machine Learning to deliver scalable, data-driven planning solutions. The role serves as a strategic analytical bridge across Supply Chain, Finance, Category Management, and Operations — translating complex and ambiguous business challenges into structured insights, clear financial implications, and actionable executive recommendations. Success in this role requires strong executive presence, the ability to influence and align stakeholders in a matrixed organization, and the composure to remain calm, focused, and decisive under pressure. The ideal candidate thrives in high-visibility environments, manages competing priorities effectively, and maintains analytical precision and sound judgment during peak business cycles and tight deadlines.

Requirements

Minimum Qualifications: Bachelor’s or Master’s degree in Engineering, Business, Finance, Economics, Statistics, Applied Mathematics, Data Analytics, or a related quantitative discipline.
Experience Required 6+ years of experience in ecommerce, national retail, consumer electronics, or data-intensive business planning environments.
Demonstrated experience in Financial Planning & Analysis (FP&A), including forecasting, budgeting, P&L modeling, variance analysis, and long-range financial planning.
Strong executive communication and data storytelling skills.
Experience leading end-to-end business planning cycles and executive performance reviews.
Exposure to category management analytics, demand planning, or supply chain performance management.
Technical Expertise Required Advanced Excel proficiency (VBA/Macros, Power Query, scenario modeling, sensitivity analysis).
Experience building bottom-up forecasting models, ML/AI-based demand forecasting, promotional lift and elasticity models, and P&L simulations.
Tableau or equivalent BI platform expertise for executive reporting.
SQL proficiency for large-scale data extraction and transformation.
Hands-on knowledge and experience with Promotional analytics to build price-elasticity models and promotional lift.

Nice To Haves

MBA or Master’s in Business Analytics, Finance, or related field preferred.
Experience in pricing analytics, demand planning, or supply chain analytics within large-scale retail or consumer electronics environments.
Experience working with large, multi-source datasets and ambiguous problem statements.
High level of ownership, integrity, and executive presence.
Ability to pivot quickly and perform effectively in a fast-paced, high-pressure environment.

Responsibilities

Business Planning, Forecasting & Financial Performance Develop and own monthly operating plans, rolling forecasts, and long-range financial outlooks in partnership with Category Management, Supply Chain, and Finance.
Lead weekly, monthly, and quarterly sales forecasting using multi-variable bottom-up modeling (traffic, seasonality, promotions, channel mix).
Own category- and SKU-level P&L modeling, including scenario simulations across pricing, promotions, assortment mix, and inventory positioning.
Conduct variance analysis and gap-to-target assessments to identify risks and corrective actions.
Provide executive-ready performance & financial reporting with clear insights, gaps, implications, and recommendations.
Promotional & Commercial Analytics Lead promotional analytics, including attribution modeling, price elasticity analysis, lift modeling, and ROI evaluation across categories.
Develop and maintain a data-driven promotional playbook to optimize revenue and margin performance.
Evaluate ecommerce sales drivers (traffic, conversion, attachment rate) and model promotional impact across platforms and campaigns.
Partner with Category teams to drive revenue gap closures through actionable insights.
Business Intelligence & KPI Governance Architect and govern enterprise-level Tableau dashboards providing real-time visibility into business performance and supply chain health.
Design executive scorecards consolidating KPIs such as sellout achievement, demand vs. shortage, weeks of supply, aging inventory, and financial targets.
Automate recurring reporting workflows to improve planning efficiency, scalability, and accuracy.
Conduct historical back-testing and scenario simulations to improve forecasting accuracy for launches and seasonal cycles.
Translate analytical findings into clear, quantitative recommendations for senior leadership.
Advanced Modeling, Automation & Data Analytics Build and maintain advanced Excel-based financial and forecasting models using scenario analysis and sensitivity modeling.
Develop scalable automation frameworks to streamline planning processes and reduce manual dependency.
Design and optimize SQL queries to consolidate finance, ecommerce, and supply chain datasets for integrated business analysis.
Perform SKU-level and funnel-level analyses to identify statistically significant drivers of revenue, margin, and conversion.
Improve long-term forecasting accuracy by applying advanced analytical and ML/AI methodologies Cross-Functional Leadership & Stakeholder Collaboration Partner closely with Category Management, Finance, Operations, and Supply Chain to align forecasts, financial targets, and risk mitigation strategies.
Lead structured business reviews with clear gap-to-target analysis and defined action plans.
Influence strategic decision-making through data-driven insights and financial rigor.
Operate effectively in a matrixed organization, driving alignment across multiple stakeholders.