Nuuly - Business Systems Analyst

Nuuly; Philadelphia (Philadelphia County); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

PTO and generous discounts

Retirement savings plan

Job summary

Nuuly is seeking a Product Data Analyst to own accuracy and consistency of product, assortment, promotion, search, and pricing data across its digital platforms. You will translate business requirements into technical specifications, establish data standards, and validate data flows across web and mobile systems.

As SME on product data and attribution, you’ll troubleshoot issues and collaborate with engineering to deliver reliable merchandising infrastructure.

Qualifications

• Proficient with SQL and BigQuery for data validation and testing.
• Experience translating business requirements into data specs.
• Strong QA/testing mindset and ability to define reusable standards.
• Experience with agile scrum processes and cross-functional collaboration.
• Familiarity with REST APIs and API testing tools like Postman.

Responsibilities

• Serve as SME for product setup, category and assortment definition, promotion creation, onsite search, and pricing.
• Partner with Inventory Science and Merchandising to gather and validate requirements.
• Define and maintain standards and documentation for product data and merchandising configuration.
• Write technical requirements for features affecting product, promotion, search, or pricing data.
• Participate in sprint planning and UAT for merchandising functionality.

Skills

SQL

BigQuery

Agile Scrum

Technical writing

QA & testing

REST APIs

AI tools integration

Communication skills

Tools

Postman

JIRA

Confluence

Job description

Role Summary

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

Role Responsibilities

• Serve as SME for product setup, category and assortment definition, promotion creation, onsite search, and pricing
• Partner closely 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 that affect 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 UAT on merchandising functionality before deployment
• Validate data accuracy and consistency across platforms (web, mobile, 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 BSAs and engineering teams on merchandising technical requirements

Role Qualifications

• 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, with 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 (ChatGPT, Claude, etc.) for work tasks, including prompt engineering and structured AI guidance methods (system prompts, rules files, agent configurations)
• Knowledge of AI tool integration concepts (MCP, connectors, 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
• Experience with search engine optimization (SEO) and answer engine optimization (AEO) is a plus

The Perks

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

EEO Statement

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.