Manager, Demand Forecasting & Strategic Planning

Samsung Electronics•Plano, TX

About The Position

Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. From our humble beginnings to our position today as a tech leader, our passion for innovation has been the common thread throughout our history. We’ve grown into one of THE most recognized global brands. We consider ourselves “relentless pioneers” that push boundaries and defy barriers. The company pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays. As EPA’s ENERGY STAR® Corporate Commitment Partner, SEA is dedicated to making a positive impact on the environment through its eco-conscious products, practices, and operations. People | Excellence | Change | Integrity | Co-prosperity Role and Responsibilities

Requirements

Bachelor's degree in Data Science, Analytics, Finance, Supply Chain, or a related field
6+ years of experience in demand planning, forecasting and analytics in the mobile or technology industry
Strong analytical skills with proficiency in forecasting tools, Excel, and data visualization platforms
Excellent communication and collaboration skills to engage cross-functional teams
Ability to adapt to fast-changing market conditions and business needs
Experience working with large datasets, statistical modeling, and predictive analytics

Nice To Haves

Master’s degree and 4+ years of relevant experience

Responsibilities

Develop data-driven demand and sell-out forecasts using historical sales data, market trends, and promotional impact analyses.
Work closely with marketing and sales teams to incorporate upcoming promotional campaigns into demand planning models.
Ensure forecasts support strategic sales targets by identifying potential demand fluctuations and adjusting supply plans accordingly.
Monitor and evaluate competitive trends to adjust forecasting models, ensuring the company maintains and grows its market position.
Collaborate with supply chain and operations teams to maintain optimal inventory levels and avoid stockouts or excess inventory.
Partner with product, marketing, finance, and sales teams to align demand forecasts with business objectives and market dynamics.
Generate reports detailing forecast accuracy, sales performance comparing target, and promotional impact; continuously refine forecasting methods.
Utilize forecasting software and AI-driven tools to improve prediction accuracy and efficiency.
Apply statistical models and algorithms to identify patterns and correlations within the sales data. This involves predictive analytics to anticipate future trends and prescriptive analytics to recommend optimal strategies for improving forecast accuracy. Excel can be used for quick data analysis, pivot tables, and scenario modeling.
Leverage diverse datasets including sales trends, Total Addressable Market (TAM), Market Share (MS), and promotion plans to create a comprehensive view of market dynamics. Utilize tools like Alteryx for data preparation, Tableau for visualization, Power BI for interactive dashboards, and Excel for data manipulation and analysis to enhance forecast accuracy.
Develop automated reporting pipelines using Power BI and Excel to provide daily/weekly updates on forecast performance. Implement feedback loops to capture insights from each functional team, ensuring continuous refinement of models and methodologies. This structured approach enhances cross-functional alignment and drives data-driven decision-making.