Senior Advanced Digital Analytics Manager

Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone.  

Summary

LG Electronics is seeking a Senior Manager to support analytics initiatives and elevate data storytelling across our digital ecosystem. This role sits at the intersection of analytics, business strategy, and digital experience, shaping how we translate complex data into actionable insights for leadership, merchandising, marketing, and product teams. As part of the Analytics team, you’ll partner closely with marketing, media, e-commerce, and product stakeholders to drive a deeper understanding of consumer behavior, digital performance, and marketing effectiveness across LG.com and other owned digital properties. This individual will provide end-to-end reporting and analytics support as part of the Digital Analytics team to drive growth and optimizations of site merchandising, promotions, functionality, and the overall website experience. The ideal candidate should have a strong data analytics background, with a focus on web analytics within ecommerce and media. This will be a hands-on role helping to build new/maintain existing dashboards, conduct strategic analyses, generate insights from a variety of data types (behavioral, transactional, VOC, etc.)  and support the optimization of our overall digital presence. The role will be hands-on analyzing data to drive insights, while bridging advanced analytical techniques with clear narrative communication to stakeholders of all levels.

Responsibilities

• The primary focus is proactively developing insights on website user behavior and media performance to drive growth and efficiency
• Lead advanced analyses spanning conversion optimization, funnel analysis, attribution modeling, and customer journey insights
• Develop and present regular reports on key metrics, performance trends and user engagement to stakeholders
• Operationalize multi-touch attribution (MTA), incrementality testing, advanced media measurement for media and site experience
• Conduct strategic analyses to measure the ROI and impact of site enhancements, merchandising, media strategy and promotions
• Develop and enhance Tableau dashboards related to website user behavior, media performance, sales, promotions, merchandising and performance with a focus on enabling self-service analytics and driving data democratization
• Proactively identify website optimization opportunities that can drive testing and site enhancement roadmaps
• Leverage advanced analytics techniques (regression analysis, clustering, causal inference, etc.), for forecasting, promotion effectiveness, price elasticity, media spend optimization, segmentation, anomaly detection, and measuring incremental impact of changes
• Build clear, visually aligned Tableau dashboards for stakeholders across e-commerce, marketing, and product teams
• Conduct competitive analysis to identify industry trends and benchmark website performance
• Work closely with cross-functional teams to understand their analytical needs and provide insights to support their objectives
• Translate analytical findings into concise executive summaries with actionable recommendations
• Train and support team members and cross-functional teams to support self-service analytics

Qualifications

• Bachelor’s degree in marketing, Business, Statistics, Data Science, Computer Science, or a related field
• 10+ years of experience in an analytics role, specifically within an ecommerce and/or media team
• Experience with statistical modeling or predictive analytics concepts (regression analysis, clustering, causal inference, etc.)
• Proficiency in web analytics tools such as Google Analytics, Adobe Analytics, or similar platforms
• Proficiency in media platforms such as DV360, SA360, Meta, CM360, Google Ads, etc.
• Adv