Footwear Product Data Analyst – Hybrid Goleta

Deckers Group; Goleta (CA); Hybrid; USD 73.000 - 98.000; Vollzeit

Benefits dieser Stelle

Competitive pay bonuses

Financial planning support

Paid time off

Employee discounts

Health and wellness programs

Growth and development opportunities

Zusammenfassung

Deckers Brands is seeking a Product Data Analyst, Footwear - UGG in Goleta, CA. Hybrid work schedule typically in the office three days a week (Tue–Thu). You will support the Product Creation Team and help bring UGG footwear collections from concept toward market by ensuring data accuracy and timely updates.

You’ll work with PLM, VLP, and internal databases, performing data quality checks and organizing seasonal inputs. This role emphasizes collaboration and precise data management.

Qualifikationen

• Bachelor’s degree or equivalent experience.
• 2+ years in a global, cross-functional setting.
• Highly organized with strong attention to detail.
• Comfortable with data, spreadsheets, and product data processes.
• Ability to manage multiple projects and meet deadlines.

Aufgaben

• Maintain and update footwear product information across line sheets and systems.
• Enter and maintain product attributes, specifications, and seasonal data.
• Perform routine data checks and resolve discrepancies with teammates.
• Collect seasonal inputs from Product Creation and partners for GTM readiness.
• Update line sheets and track updates against deadlines.
• Collaborate across functions to confirm product information and communicate changes.

Kenntnisse

Data analysis

Excel proficiency

Cross-functional collaboration

Project management

Attention to detail

Ausbildung

Bachelor’s degree or equivalent

Tools

PLM

VLP

Jobbeschreibung

Deckers Brands is seeking a Product Data Analyst, Footwear - UGG in Goleta, CA. Hybrid work schedule typically in the office three days a week (Tue–Thu). You will support the Product Creation Team and help bring UGG footwear collections from concept toward market by ensuring data accuracy and timely updates.

You’ll work with PLM, VLP, and internal databases, performing data quality checks and organizing seasonal inputs. This role emphasizes collaboration and precise data management.