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Samsung Ads · 2 weeks ago

Manager, DTC Advanced E-Commerce Analytics & Go-to-Market Intelligence (Smartphones)

6625 Excellence Way, Plano, TX, USA

Full-time

Onsite

Mid, Senior Level

6+ years exp

Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies and consumer electronics. The Manager of DTC Advanced E-Commerce Analytics & Go-to-Market Intelligence is responsible for designing and optimizing data-driven systems to support Samsung.com’s direct-to-consumer growth.

Marketing & Advertising

Responsibilities

Own quantitative and statistical analytical frameworks supporting end-to-end category performance, including revenue, units, ASP, margin, conversion, traffic, attachment rate, and inventory health

Perform SKU-level and category-level quantitative analysis to identify performance drivers, risks, and optimization opportunities

Support category P&L management through quantitative modeling and scenario simulations across pricing, promotions, assortment mix, and inventory positioning

Develop executive-ready performance readouts with clear insights, implications, and data-backed recommendations

Architect and govern enterprise-level Tableau dashboards that deliver real-time and historical visibility into DTC performance metrics

Implement advanced Tableau features including calculated fields, parameters, LOD expressions, filters, and blended data sources

Design executive scorecards that function as a governed analytical layer supporting strategic decision-making

Monitor inventory coverage, sell-through, weeks of supply, aging, and out-of-stock risk using quantitative thresholds and predictive signals

Identify early demand shifts and inventory risks, partnering with Supply Chain and Operations on corrective actions

Support assortment and inventory decisions to balance growth, margin protection, and operational efficiency

Build and maintain quantitative models in Excel using advanced formulas, Power Query, scenario analysis, and sensitivity modeling to support: Revenue and demand forecasting, Inventory optimization and risk modeling, Promotional lift, elasticity, and ROI analysis, Pricing, margin, and P&L simulations

Develop VBA/Macro-based automation to streamline recurring analytical workflows and improve reproducibility

Enable stakeholders to perform structured what-if analyses via scalable, parameter-driven modeling frameworks

Partner with Product, Engineering, Marketing, Pricing, Supply Chain, CRM, Legal, and Finance teams to align analytical solutions with system and business requirements

Serve as a technical subject-matter expert for analytics methodologies, modeling techniques, and data governance standards

Lead cross-functional stakeholders through structured analytical narratives grounded in quantitative evidence

Lead data-driven and model-based analytical support for end-to-end smartphone product launches, including pre-launch forecasting, launch readiness metrics, and post-launch performance evaluation

Partner with UX, Product, and Engineering teams to evaluate digital UI/UX enhancements using funnel analytics, behavioral data, and experimentation results to improve conversion efficiency

Apply structured analytical frameworks to evaluate conversion funnels, pricing strategies, promotional effectiveness, and merchandising performance

Conduct post-launch statistical analyses to extract learnings and improve future go-to-market execution

Define and operationalize standardized KPI frameworks across traffic, conversion, revenue, margin, inventory health, and customer behavior

Design and analyze A/B and multivariate experiments to quantify the impact of pricing, promotions, merchandising, and UX changes on conversion rate, engagement, and revenue

Develop automated weekly, monthly, and quarterly reporting systems to support technical business reviews

Translate analytical outputs into quantitative, data-backed recommendations for senior leadership

Perform historical back-testing and scenario simulation to improve forecast accuracy for new product categories

Quantitatively deconstruct customer journeys to identify system-level inefficiencies and optimize marketing ROI

Model price-response relationships to evaluate volume lift, margin impact, and profitability trade-offs

Architect and maintain automated Single Version of Truth (SVOT) data pipelines and GAAP-aligned P&L frameworks using advanced SQL, Power Query, and VBA/Macros to consolidate Finance, Supply Chain, CRM, and e-commerce data

Design, write, and optimize complex SQL queries (multi-table joins, CTEs, aggregations, performance tuning) to process and analyze large, structured datasets at scale

Eliminate manual reporting dependencies through workflow automation, improving system reliability, accuracy, and operational efficiency

Perform SKU-level, cohort-based, and funnel-level analyses to identify statistically significant drivers of conversion, revenue, and margin performance

Develop enterprise-grade Tableau dashboards for real-time monitoring, trend detection, and anomaly analysis

Analyze clickstream and funnel data from Adobe Analytics (or equivalent platforms) to identify friction points and conversion optimization opportunities

Qualification

Advanced SQLAdvanced ExcelBusiness IntelligenceQuantitative ModelingData EngineeringE-commerce AnalyticsData StorytellingTechnical CommunicationTeam Collaboration