Product Master Data Analyst

Mattel•El Segundo, CA

13h•$71,000 - $88,000

About The Position

The Product Master Data Management Analyst is part of Mattel’s Global Supply Chain Master Data Management team and reports to the Manager, Master Data Management. The role is responsible for creating, maintaining, validating, and ensuring the ongoing quality of product and item master data that supports Supply Chain and the broader organization. The Analyst partners with cross-functional business and technology teams to resolve data issues, support business requirements, and ensure adherence to established data standards, controls, and processes. The position contributes to continuous process improvement, data governance, and enterprise transformation initiatives, while developing an understanding of how master data supports end-to-end business processes. The team works in a dynamic, fast-paced environment and collaborates across functions, systems, and markets. The position is located in El Segundo, California. The stated pay range is $71,000–$88,000 per year; actual base pay depends on work location, skills, and experience. Mattel states that it offers comprehensive benefits and resources, but does not specify individual benefits in this posting.

Requirements

At least 3 years of experience in Product Master Data Management, product data, Supply Chain, ERP, or a related business environment.
Experience creating, maintaining, validating, or governing master data in ERP, PLM, PIM, MDM, or similar enterprise systems.
Strong analytical and problem-solving skills, including investigating issues, identifying root causes, and driving issues through resolution.
Ability to document functional requirements, business rules, process flows, and operating procedures.
Strong understanding of data quality and data governance principles.
Proficiency with Microsoft Excel and experience working with large data sets.
Ability to understand detailed data requirements while considering broader business objectives and downstream impacts.
Strong organizational skills and attention to detail, with the ability to manage multiple priorities.
Strong written and verbal communication skills and ability to work effectively with business and technology stakeholders.
Proactive, collaborative approach, with the ability to work independently and take ownership of assigned responsibilities.
Strong written and verbal command of English.
Ability to collaborate effectively with teams across multiple functions, markets, and regions.

Nice To Haves

Experience with Oracle, PLM, Product Information Management, or Master Data Management platforms.
Familiarity with GS1 standards, GTIN/UPC management, GDSN, retailer data requirements, or other product data standards.
Experience with SQL, Tableau, Power BI, or other data analysis and reporting tools.
Experience supporting global Supply Chain, consumer products, manufacturing, retail, or ecommerce environments.

Responsibilities

Perform standard item setup, maintenance, bulk uploads, and other master data activities across applicable business systems.
Ensure master data is accurate, complete, consistent, and maintained in accordance with business rules, controls, governance standards, and operating procedures.
Serve as a point of contact for master data requests and issues from cross-functional teams, including Planning, Sales, Marketing, Product Development, GTO, Quality, and Finance.
Investigate and troubleshoot master data issues, identify root causes, and coordinate with business and technology partners through resolution.
Conduct ongoing data quality reviews, audits, validations, and integrity checks; communicate findings and corrective actions as needed.
Document business processes, data requirements, business rules, and standard operating procedures.
Identify opportunities to improve master data processes, reduce manual effort, eliminate rework, and improve data quality.
Support system enhancements, testing, user acceptance testing, and implementation activities related to master data.
Support customer, market, regulatory, and industry data requirements, including applicable product identification and data standards.