The North Face: Analyst Digital Personalization - Americas

VF CorporationDenver, CO
$90,720 - $113,400

About The Position

The Analyst Digital Personalization is a key member of The North Face Americas eCommerce team, responsible for the identification, analysis, and measurement of opportunities to improve The North Face’s digital customer experience. Reporting to the Digital Personalization Manager, this role will focus on analyzing customer behavior, supporting optimization initiatives, and ensuring strong measurement and reporting across the experimentation program. You will play a critical role in driving optimization efforts that deliver real revenue impact and help grow the TNF eCommerce business.

Requirements

  • 3-5 years in digital analytics, eCommerce, marketing analytics, or related fields
  • Bachelor’s degree in business, statistics, analytics, mathematics or equivalent professional experience in a digital analytics role.
  • Strong foundation in digital analytics tools (e.g., GA4, Quantum Metrics, Consumer Data Platform, Databricks)
  • Understanding of eCommerce KPIs and funnel metrics (conversion rate, AOV, bounce, cart abandonment, etc.)
  • Experience analyzing customer behavior, journeys, and performance trends
  • Ability to translate data into clear insights and structured outputs
  • Proficiency in Excel (or similar tools) and experience working with dashboards or reporting tools
  • Familiarity with A/B testing, experimentation, or optimization programs
  • Basic understanding of customer segmentation concepts (e.g., lifecycle stages, cohorts, audience targeting)

Responsibilities

  • Analyze end-to-end digital customer journeys to identify friction points, drop-offs, and conversion opportunities across the funnel (landing → PDP → cart → checkout)
  • Monitor and report on key performance trends, delivering clear insights into what is happening, why, and where to act
  • Support the development of a prioritized optimization roadmap by translating data into structured opportunities and hypotheses
  • Partner with the experimentation agency to analyze test results, ensuring insights are clearly translated into business recommendations
  • Evaluate site performance across key customer segments (e.g., new vs. returning, loyalty vs. guest, CDP-defined audiences) to identify differentiated opportunities
  • Build and maintain dashboards and reporting tools that track journey performance, test outcomes, and segment-level insights
  • Support cross-functional teams (Product, Merchandising, Marketing) with data-backed recommendations to improve customer experience and business performance

Benefits

  • Comprehensive benefits that encourage mental, physical and financial well-being
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