URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)

Senior Director, Digital Analytics

URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)

full-time

Posted on:

Origin:  • 🇺🇸 United States • Pennsylvania

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Job Level

Senior

Tech Stack

JavaScriptPythonSQLTableau

About the role

  • Develop and communicate clear analytics strategies and initiatives that align with business impact and goals
  • Lead an analytical, action-oriented team and foster a culture of career development
  • Prioritize analytics efforts based on business impact
  • Collaborate with marketing, merchandising, product and finance teams to inform data-driven strategies
  • Provide actionable insights (not simply reporting) to inform cross-department decisions
  • Work closely with IT to ensure data accuracy and integrity
  • Use data analysis tools and techniques to extract insights from diverse data sets
  • Identify trends, opportunities, and areas for improvement to drive business decisions
  • Develop predictive models to optimize customer targeting, product merchandising and marketing priorities
  • Audit, create and maintain reporting dashboards for key performance metrics
  • Present concise insights and findings to senior leadership
  • Ensure data visualizations are accessible and interpretable by non-technical stakeholders
  • Develop and implement a comprehensive customer retention strategy to boost repeat purchases, loyalty, and CLV
  • Oversee retention programs including SMS, email, push notifications, personalized offers, and loyalty platform technology
  • Develop strategies to grow retention channel databases, especially SMS

Requirements

  • Bachelor’s degree in relevant field (e.g., statistics, economics, computer science)
  • Proven experience (10+ years) in analytics, strategy and other data-driven decision-making roles within e-commerce or fashion industry
  • Ability to collaborate with a diverse set of cross-functional partners
  • Strong leadership and team management skills
  • Proficiency in data analysis tools and languages (e.g., Python, R, SQL)
  • Experience with data visualization tools (e.g., Tableau)
  • Excellent communication and presentation skills
  • Deep understanding of e-commerce metrics and retail KPIs
  • Experience with machine learning and predictive modeling