About The Position

The Senior Manager of Finance & Market Intelligence leads financial simulations and competitive analytics for Samsung Electronics America’s New Computing business, which includes Tablet, PC, and XR. The role partners with cross-functional leads and category and channel managers to develop financial and demand outlooks based on product, pricing, and promotional roadmaps. It also manages third-party vendor and market-data relationships to establish a cohesive view of the competitive landscape and combines this analysis with internal models to assess category performance, promotional ROI, and seasonality. The role identifies growth opportunities and provides actionable insights to guide category strategy and investment decisions. The position collaborates with the New Computing Partnership Lead to evaluate opportunities, build business cases, and work with SEA Finance and Headquarters to secure funding. It presents clear, compelling analysis to cross-functional teams and uses data and quantitative analysis to influence programs and initiatives. The position reports to the Head of New Computing Strategy and Operations and is based in Plano, Texas. It is not eligible for immigration sponsorship.

Requirements

  • Bachelor’s degree in Finance, Business Analytics, Information Systems, Data Analytics, Engineering, Economics, or a related quantitative field, and 8 or more years of experience in analytics, financial modeling, forecasting, strategy, or related quantitative work.
  • Ability to write, read, analyze, and interpret complex datasets and translate quantitative insights into concise strategic proposals and business recommendations.
  • Experience working with large datasets and combining information from multiple sources to identify trends, patterns, and business opportunities.
  • Experience developing financial models, forecasts, simulations, or other quantitative analytical tools to support business decisions.
  • Working knowledge of P&L structure and the drivers of sell-out, margins, and net revenue, particularly in consumer electronics or retail.
  • Experience using AI-enabled tools, including tools such as Claude, Gemini, or ChatGPT, to support analytics, automation, reporting, forecasting, or business decision-making.
  • Ability to identify processes that can be improved through automation and develop or implement scalable analytical solutions.
  • Experience with Microsoft Office Suite and extensive use of Windows presentation software to develop customer and internal presentations.
  • Familiarity with retailer or carrier environments and strategies.

Nice To Haves

  • Master’s degree in Finance, Business, Information Systems, Data Analytics, Business Analytics, Economics, or a related quantitative field, and 4 or more years of relevant experience since earning the degree.
  • Experience with analytics and automation tools such as Alteryx, Power BI, SQL, Python, Tableau, or comparable technologies.
  • Experience developing and leading analytical or growth initiatives in the technology industry, including ROI analysis, forecasting, promotional effectiveness, and new product introductions.
  • Experience with statistical analysis, forecasting, predictive analytics, or scenario modeling.
  • Strategic consulting experience.

Responsibilities

  • Partner with Sales Finance, Channel Managers, and Account Teams to build cycle revenue, SD, and MDF forecast guides grounded in current run rates and weeks-of-supply forecasts.
  • Monitor financial outlooks weekly and monthly against forecasts, identify risks and opportunities, and review SD and MDF forecast and actual spending against targets, guidelines, and budget parameters.
  • Use third-party vendor research and market data, including Circana, Gap Intelligence, Stackline, Traqline, SMART, IDC, and Tech Insights, to create dashboards on purchasing trends, retailer trends, account dynamics, and other market indicators.
  • Monitor competitor shipments, pricing, and promotions; analyze the competitive product and technology landscape; and synthesize findings into recommendations for leadership.
  • Analyze promotional performance, seasonality, and financial outlooks to identify accounts, products, and weeks underperforming against benchmarks, targets, and the market, and translate findings into growth opportunities and tactics.
  • Partner with Category Managers across Tablet, PC, and XR to evaluate product, pricing, and promotional roadmaps against competitor activity; advise on adjustments and present insights to Account Leads and Channel Managers to shape priorities during key drive times.
  • Simulate ad hoc promotional opportunities, evaluate ROI, submit analysis to finance for approval support, and benchmark results against third-party data to improve simulation accuracy.
  • Work with the New Computing Partnership Lead to assess potential partnerships, propose business models aligned with business goals, develop business cases, and work cross-functionally and with Headquarters to secure funding.
  • Identify opportunities to integrate AI into analytical and business processes; automate recurring data preparation, analysis, reporting, and forecasting; and use advanced analytical tools to detect patterns, anomalies, risks, and opportunities while validating outputs.
  • Deliver clear, concise updates to New Computing, National Retail, cross-functional audiences, and executive leadership on sales trends, forecast outlooks, promotional effectiveness, financial health, risks, and growth opportunities.
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