Nuuly Senior Data Analyst

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Quick Summary

Overview

Role Summary Nuuly is seeking a Senior Analyst to join the Business Analytics team. Nuuly’s clothing rental model relies on seamless coordination between fashion, technology, and operations.

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Data AnalystData

Nuuly is seeking a Senior Analyst to join the Business Analytics team. 

 

Nuuly’s clothing rental model relies on seamless coordination between fashion, technology, and operations. We continuously innovate how customers and inventory move across a multi-node fulfillment network to deliver the best possible customer experience. The Business Analytics team partners closely with cross-functional partners to support strategy across buying & planning, supply chain & logistics, customer success, and product management. We take on complex questions that go beyond what dashboards can answer; providing data-driven insights to inform decisions across all functions of the business. 

 

  • You are a proactive and strategic thinker.
  • You are able to take ambiguous questions and turn them into actionable insights. 
  • You connect the dots between data and strategy, and prioritize analyses that drive impact.
  • You are a great communicator and synthesizer of information for both technical and non-technical audiences. 
  • You are intellectually curious and committed to continuous learning.

Responsibilities

~1 min read
  • Understand & analyze data via Google BigQuery (SQL), Looker, & Python.
  • Work with cross-functional partners to understand the intent behind business questions and translate into thoughtful analytics solutions.
  • Lead end-to-end delivery of high quality, well documented analyses - including defining metrics & approaches, soliciting stakeholder feedback, and refining analyses. Projects range in scope from clearly defined business questions, to more complex, ambiguous problems.
  • Deliver data-driven insights to guide product strategy and evaluate feature performance.

Requirements

~1 min read

 

  • Bachelor's degree in a quantitative discipline.
  • 4+ years of experience in analytics or quantitative roles
  • Excellent SQL skills.
    • Ability to efficiently query, manipulate, and analyze data. 
    • Ability to thoroughly QA & resolve bugs
  • Excellent Excel/Google Sheets skills
  • Foundational Python experience with eagerness to further develop skills
  • Experience with data visualization tools such as Looker
  • Excellent communication skills and presentation skills
  • Strong statistical aptitude

 

  • Interest in logistics, product, and customer analytics
  • Experience in retail, fashion, supply chain & logistics, or subscription services is a plus
  • Experience with dbt is a plus

#LI-HP1 

What We Offer

~1 min read

URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits

URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.

Location & Eligibility

Where is the job
Location terms not specified

Listing Details

Posted
May 12, 2026
First seen
May 15, 2026
Last seen
May 15, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
49%
Scored at
May 15, 2026

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homeoffice-na-urbnNuuly Senior Data Analyst