Job Description
Job Description
Associate Product Data Analyst (on-site Pelham, AL)
Every beautiful piece we make tells a story, and that story starts with getting the details right. As our Associate Product Data Analyst, you'll be the steward of the product information that brings Gabby and Summer Classics to life across every platform. If you love clean data, sharp accuracy, and finding smarter ways to work, this is your chance to make a real impact behind the scenes of a luxury furniture brand.
WHO WE ARE
Gabriella White is home to our family of brands -Gabby and Summer Classics. We are growing in all areas of the business and are proud to be family-owned and operated since 1987. Together, we furnish life’s best moments, from the every day to the exceptional. We are united by our vision as well as our collective spirit and our culture is shaped by our core values:
Dedication – Enthusiasm – Synergy – Integrity – Goal-Oriented – Nimble, or simply put DESIGN.
As a premier innovator, manufacturer, and retailer of luxury furniture and accessories, our brands are loved by designers and design-minded consumers for creating timeless outdoor living and transitional, eclectic furniture and accessories for every part of the home. We’re always looking for talented people to join our team and grow together.
WHAT WE OFFER
- Competitive health, dental, and vision plans.
- 401(k) plan with match after 12 months.
- Sick, vacation, holiday, and parental time off.
- Employee Assistance Program to support mental well-being.
- Generous Employee Product Purchase discount.
WHAT YOU DO
- Review and implement product master change requests with accuracy
- Cleanse data and apply best practices to raise data quality
- Track and report KPIs for master data management
- Manage requests to meet service level agreements
- Update PIM data collection templates and build new attributes
- Act as a data steward so business requirements align with PIM data
- Gather competitor pricing data
- Find opportunities to automate and work more efficiently
- Partner with cross-functional teams to support business needs
- Drive continuous process improvement
HOW SUCCESS IS MEASURED
- System Uptime
- Data Completeness
- Data Accuracy