Nuuly - Business Systems Analyst

Urban Outfitters•Philadelphia, PA

About The Position

The Business Systems Analyst will own the accuracy and consistency of product, assortment, promotion, search, and pricing data across Nuuly’s digital platforms. The role translates business requirements from Inventory Science and Merchandising into technical specifications, establishes data standards, and validates configurations and data flows across web, mobile, and internal systems. The analyst serves as the subject matter expert on Nuuly’s product data and attribution model and helps teams troubleshoot issues. The position participates in the scrum process and partners closely with other Business Systems Analysts and engineering teams to deliver reliable merchandising infrastructure.

Requirements

1–3 years of experience in merchandising systems, product data management, ecommerce operations, or technical business analysis roles.
Working knowledge of product catalog structure, category and assortment management, promotion logic, site search, and pricing in an ecommerce or subscription-based business.
Understanding of attribution models and how product data feeds reporting and inventory planning.
Strong technical writing skills and the ability to translate business needs into technical requirements.
Detail-oriented, with strong QA and testing skills and the ability to identify patterns and establish reusable standards.
Proficiency with SQL and BigQuery for data validation and testing.
Working knowledge of REST APIs, microservices, and modern web and mobile app architecture; familiarity with JSON and API testing tools such as Postman.
Experience with JIRA and Confluence.
Practical experience using Large Language Models for work tasks, including prompt engineering and structured AI guidance methods such as system prompts, rules files, and agent configurations.
Knowledge of AI tool integration concepts such as MCP, connectors, and agentic workflows, with the ability to identify where AI can improve efficiency.
Effective communication across technical and non-technical audiences; self-directed, able to manage multiple priorities, and comfortable working in Agile Scrum environments with cross-functional teams.

Nice To Haves

Experience with search engine optimization (SEO) and answer engine optimization (AEO).

Responsibilities

Serve as the subject matter expert for product setup, category and assortment definition, promotion creation, onsite search, and pricing.
Partner with Inventory Science and Merchandising teams to gather, clarify, and validate business requirements.
Define and maintain standards and documentation for product data, attribution model logic, and merchandising configuration.
Write technical requirements for new features and enhancements affecting product, promotion, search, or pricing data, establishing reusable patterns for consistent application across development.
Participate in sprint planning, refinement, and story breakdown sessions; partner with Business Systems Analysts during execution; and conduct user acceptance testing on merchandising functionality before deployment.
Validate data accuracy and consistency across web, mobile, and internal tools, and audit existing configurations to identify gaps, inconsistencies, or opportunities for improvement.
Troubleshoot product, promotion, search, and pricing issues and coordinate resolution with technical teams.
Provide guidance to Business Systems Analysts and engineering teams on merchandising technical requirements.