Inventory Analytics Associate — Merch Ops

Signet Jewelers Limited; Akron (OH); On-site; USD 52,000 - 70,000; Full time

Benefits offered by this job

Premium Healthcare Coverage

401(k) with Company Match

Generous Time Off

Diversity, Equity & Inclusion Programs

Career Growth & Development

Exclusive Perks

Job summary

Signet Jewelers Limited in the United States is seeking an Associate Data Analyst, Central Merchandise Operations, to join a data-driven team that supports inventory valuation, lifecycle management, reporting, and operational processes.

You will own and maintain key product information, ensuring data accuracy across systems and collaborating with Merchandising, Inventory Planning, Finance, and Technology to drive data governance and process improvement.

Qualifications

• Bachelor's degree in Business, Merchandising, Supply Chain, Analytics, or a related field.
• Demonstrated analytical and problem-solving skills.
• Experience with Excel, reporting tools, or large datasets.

Responsibilities

• Maintain and update SKU lifecycle status and other inventory-related data elements.
• Prepare recurring reports and manage inventory productivity metrics.
• Identify trends, variances, and opportunities for operational improvement.
• Support cross-functional teams and data governance efforts.
• Assist with data entry, validation, and data quality audits.

Skills

Attention to detail

Analytical thinking

Excel proficiency

Strong communication

Team collaboration

Education

Bachelor's degree in Business, Merchandising, Supply Chain, Analytics, or Information Systems

Tools

Excel

SQL basics

Reporting tools

Job description

Signet Jewelers Limited in the United States is seeking an Associate Data Analyst, Central Merchandise Operations, to join a data-driven team that supports inventory valuation, lifecycle management, reporting, and operational processes.

You will own and maintain key product information, ensuring data accuracy across systems and collaborating with Merchandising, Inventory Planning, Finance, and Technology to drive data governance and process improvement.