Product Data & Merchandising Systems Analyst

Nuuly; Philadelphia (Philadelphia County); Presencial; USD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision coverage

PTO and generous discounts

Retirement savings plan

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

SQL

BigQuery

Agile Scrum

Technical writing

QA & testing

REST APIs

AI tools integration

Communication skills

Herramientas

Postman

JIRA

Confluence

Descripción del empleo

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.