Professional III, Online Biz Sales Management

Samsung Electronics America; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Samsung Electronics America seeks a senior data analytics professional to architect data pipelines and GAAP-aligned P&L models. You will consolidate Finance, Supply Chain, CRM, and e-commerce data with SQL, Power Query, and VBA, building scalable analyses and dashboards.

You will drive KPI standardization, perform A/B testing, and develop automated reporting to reduce manual work while increasing reliability and speed of insights for senior leadership.

Qualifications

• Experience building interactive dashboards in Tableau and Power BI to deliver data-driven insights.
• Strong SQL skills with multi-table joins, CTEs, aggregations, and performance tuning.
• Advanced Excel skills including Power Query, VBA/macros, and scenario modeling.

Responsibilities

• Architect and maintain SVOT data pipelines and GAAP-aligned P&L frameworks using SQL, Power Query, and VBA/Macros.
• Develop KPI frameworks across traffic, conversion, revenue, margin, and inventory health.
• Lead data-driven analyses and model-based support for product launches and marketing ROI.

Skills

SQL

Excel

Tableau

Power Query

VBA

Education

Bachelor’s degree in Electronics and Communication Engineering

Tools

Adobe Analytics

ETL tools

Job description

Role and Responsibilities

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 SKUlevel, cohort-based, and funnel-level analyses to identify statistically significant drivers of conversion, revenue, and margin performance. 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; and 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. 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. Forecast Modeling: Perform historical back-testing and scenario simulation to improve forecast accuracy for new product categories. Funnel Decomposition: Quantitatively deconstruct customer journeys to identify system-level inefficiencies and optimize marketing ROI. Pricing & Elasticity Modeling: Model price-response relationships to evaluate volume lift, margin impact, and profitability trade-offs. Develop automated weekly, monthly, and quarterly reporting systems to support technical business reviews. Translate analytical outputs into quantitative, data-backed recommendations for senior leadership. 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. 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. 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. 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. 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.

Position Summary

Role and Responsibilities 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 SKUlevel, cohort-based, and funnel-level analyses to identify statistically significant drivers of conversion, revenue, and margin performance. 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; and 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. 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. Forecast Modeling: Perform historical back-testing and scenario simulation to improve forecast accuracy for new product categories. Funnel Decomposition: Quantitatively deconstruct customer journeys to identify system-level inefficiencies and optimize marketing ROI. Pricing & Elasticity Modeling: Model price-response relationships to evaluate volume lift, margin impact, and profitability trade-offs. Develop automated weekly, monthly, and quarterly reporting systems to support technical business reviews. Translate analytical outputs into quantitative, data-backed recommendations for senior leadership. 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. 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. 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. 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. 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.

Skills And Qualifications

Bachelor’s degree in Electronics and Communication Engineering, Electronics Engineering, Data Analytics, Statistics, a related field, or a foreign equivalent plus 6 years of progressively responsible post-baccalaureate experience in job offered or any software developer/engineering related job titles. Applicants must have experience in the following: (1) Data Analytics & Business Intelligence including building dashboards and deriving insights using Tableau and SQL to support data driven decision-making; (2) Strategic Planning & Performance Optimization including analyzing key business metrics, enabling actionable insights and measurable business impact; (3) Stakeholder Management & Cross-Functional Collaboration including working with leadership and cross-functional partners to drive alignment and execution; (4) Streamlining and automating workflows and enhancing efficiency through Advanced Excel automation, including Macro and VBA development; (5) Data Visualization & Reporting including designing intuitive dashboard and reports to translate complex data into clear business insights; (6) Data Analytics including data extraction, querying, and analysis using SQL to identify trends and support data-driven decision making; and (7) Business Operations & Operational Excellence including identifying trends, gaps and support strategic business decisions across functions.

No sponsorship available for this position.

• Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

• Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or [e-mail] for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.