SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear and shapewear.
August 27
🔄 Hybrid – Los Angeles
SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear and shapewear.
• Lead digital analytics and optimize data governance across our digital commerce platforms, driving robust web and mobile app performance insights to inform business enhancements. • Responsible for data integrity by owning all web and mobile analytics data sources & tag management, continuously optimizing and auditing. • Perform advanced statistical analysis techniques and leveraging BI tools (e.g. Looker, Tableau). • Collect, clean and manipulate data – using SQL & fundamentals of data engineering. Facilitate the collection and sharing of data between various technologies/mediums using tagging tools (ie: Google Tag Manager, Tealium, and/or Adobe). • Perform data mining and analysis; using Google Analytics, GA360, GA4, and/or Adobe Analytics. • Continuously monitor digital analytics, privacy, and industry trends (browser cookie depreciation, first party data, etc.). • Track complex data and consolidating customer profiles utilizing data warehouse or CDP (Customer Data Platform) across owned digital channels. • Collaborate closely with engineering and product teams as the in-house expert across all technical analytics topics. • Collaborate closely with digital product and engineering to implement advanced analytics and tracking capabilities across all digital properties. • Spearhead advanced digital analytics initiatives related to identity and clickstream data. • Lead team in optimizing daily/weekly/monthly product insights, informing consumer journey enhancements, and reporting on the subsequent performance impact. • Own and advance our server-side, mobile app & headless tracking set-up. • Guide team focused on A/B testing and personalization efforts, instilling culture of disciplined statistical analysis. • Deliver oral and written presentations of the results of mathematical modeling and data analysis to management or other end users. • Operate as internal expert for GA4 and any other digital analytics tools. • Work closely with our technology team to ensure best practices across cookie consent management (CCPA, GDPR, etc). • Guide team on customer journey analysis, heat mapping, session recording and user research best practices. • Lead customer driven data analytics initiatives at a relevant consumer goods ecommerce business. • Telecommute 2x/week.
• Candidate must have a Bachelor’s degree in Computer Science, Management Information Systems or Statistics and 5 years of experience leading customer driven data analytics initiatives at a relevant consumer goods ecommerce business. • Must have experience in: Performing advanced statistical analysis techniques and leveraging BI tools (e.g. Looker, Tableau); Utilizing Google Analytics, GA360, GA4, and/or Adobe Analytics to perform data mining and analysis; Facilitating the collection and sharing of data between various technologies/mediums using tagging tools (ie: Google Tag Manager, Tealium, and/or Adobe); and Tracking complex data and consolidating customer profiles utilizing data warehouse or Customer Data Platform (CDP) across owned digital channels.
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