Manager- Business Planing & Supply Chain Analytics jobs in United States
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Samsung Electronics America · 4 days ago

Manager- Business Planing & Supply Chain Analytics

Samsung Electronics America, Inc. is a leader in mobile technologies and consumer electronics, seeking a Manager of Business Planning and Supply Chain Analytics to drive business planning for their Mobile business. The role involves managing sales forecasts, P&L analysis, and optimizing supply chain performance through advanced analytics and collaboration with cross-functional teams.

Manufacturing
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H1B Sponsor Likelynote

Responsibilities

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
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
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
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
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
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

Qualification

Advanced ExcelBusiness IntelligenceStatistical ModelingSupply Chain AnalyticsPromotional AnalyticsSQLFinancial AnalysisData StorytellingCross-Functional LeadershipCommunication Skills

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

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

Benefits

Health Insurance

Company

Samsung Electronics America

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Samsung Electronics America engages in high-tech electronics manufacturing and digital media.

H1B Sponsorship

Samsung Electronics America has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (193)
2024 (160)
2023 (160)
2022 (183)
2021 (146)
2020 (105)

Funding

Current Stage
Late Stage

Leadership Team

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Mohsen Hosseinian
Wireless Systems, 5G and NTN Expert
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Rob White
Head of Samsung Wallet US
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Company data provided by crunchbase