Senior Manager – Ecommerce Business Planning & Analytics

Position Summary

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.

Key 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.

Skills and Qualifications

Minimum Qualifications:

• Bachelors or Masters degree in Engineering Business Finance Economics Statistics Applied Mathematics Data Analytics or a related quantitative discipline.
• MBA or Masters in Business Analytics Finance or related field preferred.

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.

Preferred Qualifications

• 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.

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