Director of Performance Marketing & Customer Analytics

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:

• Develop and lead a comprehensive marketing analytics strategy to measure and optimize the effectiveness of digital marketing campaigns.

• Partner with Marketing, Sales, to align on reporting methodologies and data-driven strategies.

• Evaluate marketing attribution models and recommend adjustments to maximize budget efficiency and revenue impact.

• Data-Driven Decision Making: Analyze large sets of marketing data, extract insights, and present recommendations to senior leadership and key stakeholders to improve campaign performance and marketing ROI.

• 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.

• Oversee A/B testing and experimentation frameworks to optimize marketing strategies.

• Campaign Performance Analysis: Conduct deep dives into the performance of marketing campaigns, using tools like Adobe Analytics, SA360, SEMRush, Rakutento identify trends, opportunities, and areas for improvement

• Continuous Optimization: Stay up-to-date with industry trends, emerging technologies, and best practices to continuously enhance marketing measurement processes and campaigns optimization strategies

• Forecasting & Budgeting: Collaborate with marketing leadership, marketing managers to build accurate forecasts, spend plans, establish KPIs for marketing initiatives based on historical data and predictive analytics

• Cross-Functional: Work closely with marketing, creative, product and data science teams to ensure data consistency and alignment across all marketing activities. Provide analytics support for campaign planning, creative testing and performance reviews.

• Team Leadership & Development: Setup and lead a team of analysts, fostering a culture of data-driven decision -making and continuous improvement.

• Utilize SQL to perform data analysis to extract valuable insights from large data sets like Click stream, transactional data

• Developing effective measurement frameworks and reports for non-technical audiences to enable actionable insights to improve digital marketing and customer conversion funnel

• Knowledge of statistical concepts and methods, such as hypothesis testing, confidence intervals, sample size calculation, regression analysis & Bayesian Models

THE CANDIDATE

Background & Competencies Required:

• 10+ years of related experience in one or more of the functional areas: Digital Marketing analytics, with at least 4 years managing MTA and MMM measurement frameworks

• Hands-on experience with attribution tools (e.g. Google Attribution, Adobe Analytics etc. (and marketing analytics platform

• Demonstrate strong technical expertise in Tableau/SQL and well verse with Adobe analytics

• Master’s degree in Business, Data Science or a related field

• 7+ years’ experience in ecommerce or consumer electronics industry or management consulting

• 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

• 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 a