Position Summary

Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. 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 an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, 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

Specific responsibilities include:

Lead and manage the Web & Customer Analytics team, consisting of business analysts and other XFN professionals.
Build and manage a robust analytics framework to track key performance indicators (KPIs) including Renewal rate, and Gross and Net Retention rates by product and customer segment, ARR, and customer churn and expansion analysis.
Drive the development of consumer insights and analytical capabilities to inform strategic decisions across web, product, Customer Intelligence, sales, and product teams.
Oversee A/B testing and experimentation frameworks to optimize CEJ.
Collaborate with senior leaders to design and execute the analytics roadmap, ensuring alignment with business goals and objectives.
Continuous Optimization: Stay up-to-date with industry trends, emerging technologies, and best practices to continuously enhance measurement processes.

Background & Competencies Required:

10+ years of related experience in one or more of the functional areas: Digital & Customer analytics, with at least 4 years managing MTA and MMM measurement frameworks
Demonstrate strong technical expertise in Tableau/SQL and well verse with Adobe analytics/Firebase
Master’s degree in Business, Data Science or a related field
7+ years’ experience in ecommerce or consumer electronics industry or management consulting
Hands on experience in building Customer Segmentation models (K-Means, RFM, Behavioral, Geographics Segmentation etc.)
Proficiency developing custom reports, advanced segments, and complex goals, and interpreting and presenting findings
Strong critical thinking skills and a proactive approach to identifying opportunities for optimization and improvement.
Strong quantitative and analytical capabilities with high proficiency in data analysis using excel, tableau preferred
Hands-on experience with attribution tools (e.g., Google Attribution, Adobe Analytics etc.).
Prior experience leading small teams with the ability to engage and develop talent
Exceptional communication skills with ability to collaborate and build effective partnerships at all levels of the organization
Structured and process-oriented approach to solve business and operational problems with a highly agile approach
Ability to operate seamlessly in a matrix organization and manage stakeholder across multiple lines of businesses
Oversee the creation of data models and advanced analytical solutions to extract actionable insights from customer and market data.
Design, implement, and optimize business intelligence frameworks to measure and track key performance indicators (KPIs).
Apply statistical and machine learning techniques (Python, SQL,Big Query) to large datasets to uncover consumer trends, behaviors, and opportunities.
Conduct in-depth analysis and reporting on customer behaviors, segmentation, lifetime value, and other business-critical metrics.
Mentor, coach, and develop a high-performing team of data analysts, fostering a culture of continuous improvement and learning.
Communicate complex data findings to non-technical stakeholders through clear, concise reports and presentations (WBR,MBR,QBR).
Ensure the integrity, accuracy, and confidentiality of consumer data, implementing best practices in data governance and security.
Stay up-to-date with the latest trends and technologies in data science, analytics, and business intelligence to bring innovative solutions to the business.
Cross-Functional: Work closely with CX, UX, product and data engineering teams to ensure data consistency and alignment across all web activities.
Knowledge of statistical concepts and methods, such as hypothesis testing, confidence intervals, sample size calculation, regression analysis & Bayesian Models

Skills and Qualifications

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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, for candidates based in California, is expected to be between $265,500 and $294,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

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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 SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.