Business Systems Analyst

Nuuly • Philadelphia, PA

4d

About The Position

The Business Systems Analyst owns 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 that configurations and data flows work as intended across web, mobile, and internal systems. As the subject matter expert on Nuuly’s product data and attribution model, the analyst helps teams troubleshoot issues and partners with Business Systems Analysts and engineering teams to deliver reliable merchandising infrastructure through the scrum process.

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, and the ability to identify where AI can improve efficiency.
• Effective communication with 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, and establish reusable patterns for consistent 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 web, mobile, and internal tools, and audit configurations to identify gaps, inconsistencies, and opportunities for improvement.
• Troubleshoot product, promotion, search, and pricing issues and coordinate resolutions with technical teams.
• Provide guidance to Business Systems Analysts and engineering teams on merchandising technical requirements.

Benefits

• Medical, dental, and vision benefits.
• PTO.
• Generous employee discounts.
• Retirement savings.
• Additional perks and benefits; availability and eligibility may depend on location and employment status.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed