Product Operations Analyst

About the Role

We are looking for an entry level Product Operations Analyst to support and scale product data operations for our Digital Shelf Optimization platform.

This role is responsible for maintaining the quality, accuracy, and scalability of product operations across customer accounts.

Responsibilities

• Execute day-to-day product operations: product tagging, banner tagging, PIM matching, catalog maintenance, and configuration updates across customer accounts, to defined quality standards and turnaround times.
• Validate product classifications, taxonomy mappings, and catalog configurations to maintain high data quality.
• Follow operational playbooks and SOPs consistently, and flag cases where the process is unclear, broken, or producing errors.
• Resolve routine operational issues, and escalate the ones that need cross-functional input with enough context to be actioned quickly.
• Learn the workflows well enough to identify repetitive, rules-based steps that are candidates for automation — and raise them.

What You'll Need

• Graduate (bachelor's degree), with at least one internship in operations, data, analytics, or a related hands-on role.
• Strong attention to detail and a genuine bar for getting things right rather than just done.
• Comfort working with large datasets and structured, repetitive workflows without losing accuracy.
• Exposure to SQL, Python, or any scripting, even from coursework or personal projects.
• Clear written and verbal communication.
• Curiosity about how the work could be done faster or automatically and the drive to act on it.
• Hands-on experimentation with generative AI or automation tools.

Resume Tip

Highlight any relevant internship or hands-on experience in operations, data, analytics, or a related field.