Nuuly is seeking a Lead 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 supply chain & logistics, buying & planning, 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.
Who You Are
You are a proactive, strategic thinker who identifies new opportunities.You are able to take on ambiguous, complex problems and define analytical approaches.You connect the dots between data and strategy, and prioritize analyses that drive meaningful business impact.You are an excellent communicator and synthesizer of information for both technical audiences and business stakeholders.You have deep, expert-level knowledge of SQL, including query structure, readability, performance, and QA. You set standards and elevate the team’s analytical rigor. Role Responsibilities Understand & analyze data via Google BigQuery (SQL), Python, and Looker.Partner with cross-functional teams to understand the intent behind business questions and translate them into thoughtful analytics solutions.Own end-to-end delivery of high quality, well documented analyses with minimal oversight - including identifying & scoping opportunities, defining metrics & approaches, and soliciting stakeholder feedback. Projects range in scope from clearly defined business questions, to ambiguous, open-ended problems.Deliver data-driven insights to guide product strategy and evaluate feature performance.Contribute to building scalable analytical processes, tools, & set best practices across the team. Role Qualifications Bachelor’s degree in a quantitative discipline.6+ years of experience in analytics or quantitative roles, with demonstrated progression in scope and ownership.Excellent SQL & Python skillsExcellent data visualization skills including use of tools such as LookerExperience with dbtStrong statistical aptitudePractical experience using Large Language Models (ChatGPT, Claude, etc.) for work tasks.Understanding of prompt engineering and how to provide effective context to AI tools.Familiarity with structured AI guidance methods (system prompts, rules files, agent configurations).Knowledge of AI tool integration concepts (MCP, connectors, agentic workflows).Ability to identify opportunities where AI can drive efficiency improvements.Interest in logistics, shipping, inventory, and customer analyticsExperience in supply chain & logistics, retail, fashion, or subscription services is a plus#LI-AZ1
The PerksURBN 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
EEO StatementURBN 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. Options ApplyApplyShareSubmit a ReferralRefer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed Not finding the perfect fit?
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