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Samsung Electronics Perú

Senior Manager, Digital Marketing Analytics - eCom

Samsung Electronics Perú, California, Missouri, United States, 65018

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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.

Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description. Role and Responsibilities Currently seeking a Sr. Manager of Digital Marketing Analytics – eCommerce. 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. Reporting & Dashboards: Develop and maintain automated reporting with highest accuracy levels and dashboards to track the effectiveness of performance marketing activities ensuring key stakeholders are informed of performance metrics in near real-time. Campaign Performance Analysis: Conduct deep dives into the performance of marketing campaigns, using tools like Adobe Analytics, SA360, Rakuten and other BI platforms to 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. Marketing Plan: Setup daily/weekly Marketing Traffic, Orders, CVR, ROAS plan by each function by coordinating with XFN team. 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. Ensure data quality and integrity for key functions like internal mapping tables product hierarchy, Dates, Site taxonomy and marketing CID standardization, Adobe Classification /processing rules. Knowledge of statistical concepts and methods, such as hypothesis testing, confidence intervals, sample size calculation, regression analysis & Bayesian Models. Setup MTA eco system, Create and present clear and compelling reports and dashboards that showcase the impact of experiments on key performance indicators. Skills and Qualifications Minimum Qualifications 8+ years of related experience in one or more of the functional areas: Digital Marketing analytics, with at least 3 years managing MTA and MMM measurement frameworks. Proven track record of applying MTA and MMM methodologies to optimize marketing spend and campaign performance. Hands-on experience with attribution tools (e.g. Google Attribution, Adobe Analytics etc.) and marketing analytics platforms. Demonstrate strong technical expertise in Tableau/SQL and well versed with Adobe analytics. Master’s degree in Business, Data Science or a related field. 6+ 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 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 stakeholders across multiple lines of businesses.

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