Director of eCommerce Analytics

Samsung Electronics•Englewood Cliffs, NJ

About The Position

Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems. For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States—investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we’re creating smarter, sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd. To learn more, visit Samsung.com. For the latest news, visit news.samsung.com/us. Role and Responsibilities THE POSITION 1. Strategic Leadership & Cross-Functional Influence Lead and manage an eCommerce Analytics team consisting of business analysts and other XFN professionals while fostering a culture of continuous improvement. Collaborate with senior leaders to design and execute the analytics roadmap ensuring alignment with business goals, commercial health and long-term objectives. Communicate complex data findings and narrative-driven insights to non-technical stakeholders through clear reports and presentations. Cross-Functional: Work closely with CX, UX, product, supply chain and data engineering teams to ensure data consistency and alignment across all eCommerce activities. 2. Commercial Analytics & Performance Frameworks Build and manage a robust analytics framework to track key performance indicators including traffic, conversion, net sales, average selling price, attach rate by product category, unit economics and more. Oversee the creation of data models and advanced analytical solutions to extract actionable insights from eCommerce, market and product affinity data. Conduct in-depth analysis and reporting on consumer behaviors, segmentation, replacement cycle analysis, price elasticity and other business-critical metrics to drive transactional revenue. Drive the development of eCommerce insights to inform strategic decisions across eCommerce, product and sales teams to optimize the digital path-to-purchase. 3. Technical Methodology & Technical Evolution Apply statistical and machine learning techniques (including Python, SQL via BigQuery and Vertex AI) for hypothesis testing, regression analysis and bayesian models to uncover consumer trends and behaviors. Oversee A/B testing and experimentation frameworks to optimize the consumer experience journey and digital shelf placements. Continuous Optimization: Stay up-to-date with industry trends and emerging technologies in data science and business intelligence to implement best practices in data governance, security and innovative measurement. THE CANDIDATE 1. Domain Expertise & Professional Background 10+ years of related experience in digital & eCommerce analytics with at least 4 years managing multi-touch attribution (MTA) measurement frameworks. Master’s degree in business, data science or a related field with 7+ years’ experience in e-commerce, consumer electronics or management consulting. Proven leadership experience in managing and developing analytical talent within a matrix organization to solve complex operational problems. 2. Technical Proficiency & Data Science Application Demonstrate strong technical expertise in Tableau/SQL and well verse with Adobe Analytics and Google Cloud Platform. Hands-on experience building multi-dimensional customer segmentation models (K-Means, RFM, Behavioral and Geographics) and utilizing attribution tools like Google attribution. Proficiency in developing custom reports and advanced segments to interpret findings related to both consumer behavior and hardware commercial performance. Strong quantitative and analytical capabilities with high proficiency in data analysis using Excel and Tableau to identify pricing efficiency and optimization opportunities. 3. Critical Thinking & Operational Excellence Strong critical thinking skills and a proactive approach to identifying value gaps and strategic opportunities for digital assortment optimization. Exceptional communication skills with the ability to build effective partnerships and influence centralized business decisions at all levels. Structured and process-oriented approach to problem-solving with a highly agile mindset and the ability to operate seamlessly across multiple lines of business. Skills and Qualifications #LI-JM1 Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/ Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/ The salary range for this role is expected to be between $241,500 and $298,500. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance. 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 [email protected] for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. Job Alerts: If you would like to be notified of new opportunities when they are posted, please click here. You will be asked to create an account first if you do not already have one. Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, and network systems, and the entire semiconductor industry with our memory, system LSI, foundry, and LED solutions. Samsung is also leading in the development of the Internet of Things through, among others, our Smart Home and Digital Health initiatives. Since being established in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top global brands. Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth. To discover more, please visit our official newsroom at (https://news.samsung.com/global/).

Requirements

10+ years of related experience in digital & eCommerce analytics with at least 4 years managing multi-touch attribution (MTA) measurement frameworks.
Master’s degree in business, data science or a related field with 7+ years’ experience in e-commerce, consumer electronics or management consulting.
Proven leadership experience in managing and developing analytical talent within a matrix organization to solve complex operational problems.
Demonstrate strong technical expertise in Tableau/SQL and well verse with Adobe Analytics and Google Cloud Platform.
Hands-on experience building multi-dimensional customer segmentation models (K-Means, RFM, Behavioral and Geographics) and utilizing attribution tools like Google attribution.
Proficiency in developing custom reports and advanced segments to interpret findings related to both consumer behavior and hardware commercial performance.
Strong quantitative and analytical capabilities with high proficiency in data analysis using Excel and Tableau to identify pricing efficiency and optimization opportunities.
Strong critical thinking skills and a proactive approach to identifying value gaps and strategic opportunities for digital assortment optimization.
Exceptional communication skills with the ability to build effective partnerships and influence centralized business decisions at all levels.
Structured and process-oriented approach to problem-solving with a highly agile mindset and the ability to operate seamlessly across multiple lines of business.

Responsibilities

Lead and manage an eCommerce Analytics team consisting of business analysts and other XFN professionals while fostering a culture of continuous improvement.
Collaborate with senior leaders to design and execute the analytics roadmap ensuring alignment with business goals, commercial health and long-term objectives.
Communicate complex data findings and narrative-driven insights to non-technical stakeholders through clear reports and presentations.
Work closely with CX, UX, product, supply chain and data engineering teams to ensure data consistency and alignment across all eCommerce activities.
Build and manage a robust analytics framework to track key performance indicators including traffic, conversion, net sales, average selling price, attach rate by product category, unit economics and more.
Oversee the creation of data models and advanced analytical solutions to extract actionable insights from eCommerce, market and product affinity data.
Conduct in-depth analysis and reporting on consumer behaviors, segmentation, replacement cycle analysis, price elasticity and other business-critical metrics to drive transactional revenue.
Drive the development of eCommerce insights to inform strategic decisions across eCommerce, product and sales teams to optimize the digital path-to-purchase.
Apply statistical and machine learning techniques (including Python, SQL via BigQuery and Vertex AI) for hypothesis testing, regression analysis and bayesian models to uncover consumer trends and behaviors.
Oversee A/B testing and experimentation frameworks to optimize the consumer experience journey and digital shelf placements.
Stay up-to-date with industry trends and emerging technologies in data science and business intelligence to implement best practices in data governance, security and innovative measurement.