SUN DAY RED - Senior Analyst Product Master Data

Sunday Red Golf•Carlsbad, CA

10d•$95,000 - $110,000•Onsite

About The Position

Sun Day Red is seeking an experienced Senior Analyst, Product Master Data to own product data end to end across Apparel, Accessories, Bags, and Footwear. Based in San Clemente, this role safeguards the accuracy and consistency of foundational data across core business systems, from initial style setup through final delivery. The position partners with Merchandising, Planning, Finance, Sales, Order Management, and Supply Chain to align brand, product, and go-to-market information across systems and reports. It manages style, style-color, and SKU creation and maintains accurate sales pricing, costing, HTS codes, duty, freight, and product delivery dates across business platforms. The Senior Analyst also helps shape master data practices as the business grows by evolving processes and systems, supporting implementations and integrations, and driving continuous data improvement.

Requirements

At least 5 years of experience in product data management, merchandising operations, or supply chain compliance.
Bachelor's degree in Business, Supply Chain, Information Systems, or a related field, or equivalent experience.
Hands-on experience with PLM, ERP, and BI platforms.
Advanced Excel skills and comfort validating large data sets across systems.
Strong analytical skills, data modeling proficiency, and exceptional attention to detail.
Experience writing and maintaining data governance documentation and SOPs.
Ability to manage multiple priorities and deadlines across the product lifecycle.
Strong communication skills and ability to align stakeholders and influence without direct authority.
Process improvement mindset and adaptability as systems and processes evolve.
Ability to work extended hours as necessary.
Ability to work efficiently and accurately in a fast-paced, hyper-growth environment.
Ability to perform light physical effort, including frequent lifting or moving of lightweight materials.

Nice To Haves

Experience in apparel, footwear, or consumer goods.
Oracle ERP experience.
SQL or database querying experience.
Experience with Domo, Power BI, or Tableau.

Responsibilities

Partner with Merchandising, Planning, Development, Finance, and Supply Chain on calendar milestones and data upload deadlines.
Monitor data accuracy, conduct regular audits and reconciliations, and resolve discrepancies between systems.
Document data standards, maintain the master data dictionary and governance matrix, and identify the source of truth for each attribute.
Support integrations that sync product data across systems and escalate synchronization errors or conflicts.
Define and track data quality KPIs, including completeness, accuracy, and timeliness, and build dashboards and scorecards to report data health.
Own master data request and change workflows, meeting defined SLAs for new style and change requests.
Maintain product hierarchy, change history, and audit trails to support Finance and BI reporting.
Create and maintain product data at style, style-color, and size levels, releasing it on schedule for go-to-market timelines.
Ensure style attributes, size ranges, and size scales are complete, accurate, and consistent across product lines and seasons.
Troubleshoot data issues affecting order entry, purchasing, allocation, or fulfillment.
Manage item status across the product lifecycle and support seasonal SKU rationalization.
Maintain product delivery and availability dates across systems, process changes, and resolve gaps between planned and actual dates.
Set up and maintain wholesale and retail pricing by region, channel, and season, and validate pricing integrity between systems.
Manage costing data, including vendor price lists, PO pricing, and standard costs, in partnership with Finance, Merchandising, Development, and Supply Chain.
Monitor HTS and duty changes and work with Logistics, Compliance, and Development to classify and validate new products.
Maintain freight attributes, including weight, dimensions, and packaging, as well as country of origin and material composition data.
Identify workflow automation opportunities and ways to reduce manual entry and synchronization errors.
Partner with IT and business teams on new systems and integrations, including requirements input and user acceptance testing.
Develop training materials and SOPs and recommend governance improvements as the business scales.