Senior A/B Testing & Personalization Strategist

URBN Urban Outfitters, Inc.; Philadelphia (Philadelphia County); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Paid time off

Employee discounts

Retirement savings

Job summary

URBN Urban Outfitters, Inc. is seeking a highly technical Sr. Analyst, Testing & Personalization to join the Analytics & Insights team. This role focuses on on‑the‑fly statistical analysis of A/B tests, personalization placements, and data‑driven decision making across Anthropologie brands.

The candidate will own technical analysis, build reporting standards, and contribute to testing strategy using large‑scale customer, campaign, product, site, and marketing data to shape what to test next.

Qualifications

• Bachelor's degree in Statistics, Data Science, Business Analytics or related field

Responsibilities

• Conduct rigorous statistical analysis of A/B and multivariate tests.
• Build, document, and improve reporting templates and standards for test results.
• Analyze personalization placements and targeting logic to identify optimization opportunities.
• Translate results into clear recommendations to inform testing and roadmap priorities.
• Analyze browsing and purchase behavior to understand customer mindset and inform hypotheses.

Skills

Statistical analysis

A/B testing

Multivariate testing

SQL

GA4

Data visualization

Looker Studio

Tableau

Qlik

Education

Bachelor's degree in Statistics, Data Science, Business Analytics

Tools

SiteSpect

Monetate

Dynamic Yield

Snowflake

Looker Studio

Tableau

Qlik

Job description

URBN Urban Outfitters, Inc. is seeking a highly technical Sr. Analyst, Testing & Personalization to join the Analytics & Insights team. This role focuses on on‑the‑fly statistical analysis of A/B tests, personalization placements, and data‑driven decision making across Anthropologie brands.

The candidate will own technical analysis, build reporting standards, and contribute to testing strategy using large‑scale customer, campaign, product, site, and marketing data to shape what to test next.