Senior Analyst, e-commerce Sr. Analyst, Digital Analytics (Web Analytics)
LG ElectronicsAbout the role
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.
What we can offer:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
The Opportunity:
The Senior Analyst 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. As a key member of the team, you should have a strong data analytics background, with a focus on web analytics within ecommerce. This will be a hands-on role helping to develop measurement plans, build new/maintain existing dashboards, conduct strategic analyses, generate insights from website behavioral data and support the optimization of our overall digital presence. You will work closely with the Measurement Ops team to continuously maintain and expand the data collected in our web analytics platform as well as working closely with our various business teams to understand their analytical needs and develop solutions to drive data driven decision making. The ideal candidate will have strong communication, relationship building and project management skills. You will use your expertise to analyze data to drive insights as well as compiling and presenting the findings to various levels of stakeholders from execution teams up to management.
- The primary focus is proactively developing insights on website user behavior and performance to drive growth and efficiency.
- Develop and present regular reports on key metrics, performance trends and user engagement to stakeholders.
- Develop measurement plans in support of promotional and merchandising activities as well as larger scale website enhancements.
- Conduct strategic analyses to measure the ROI and impact of site enhancements, merchandising and promotions.
- Support the standardization of KPIs and measures, ensuring consistency across the organization.
- Develop and enhance all dashboards related to website user behavior 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.
- Partner with Measurement Operations to enrich tracking capabilities and ensure integrity/accuracy of site analytics data.
- 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.
- 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 related field.
- 3-5 years of experience in a web analytics role within in ecommerce environment.
- Proficiency in web analytics tools such as Google Analytics, Adobe Analytics, or similar platforms.
- Strong expertise in data visualization and reporting tools (e.g., Looker Studio, Tableau, Power BI).
- Experience using SQL to extract, join, and manipulate large datasets.
- Experience working with cloud data warehouses such as BigQuery, Redshift, Snowflake, etc.
- Knowledge of tag management systems (e.g. Google Tag Manager) and analytics tagging process.
- Knowledge of statistical methodologies and application of methods within data analytics.
- Experience in testing/experimental concepts.
- Strong skills within Excel (data manipulation, macros, charts, and pivot tables).
- Proficient in data storytelling and presentation skills.
- Strong analytical and critical thinking skills
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