Associate Operations Analyst

Company Description
Profitero+ is the leading digital commerce company, trusted by more than 4,000 brands worldwide. We help brands break down silos and turn data into decisive action through intelligence‑driven, end‑to‑end solutions that unify media, content, operations and strategy. Powered by advanced AI, robust digital shelf analytics across 1,400+ retailers in 70 countries and unmatched expertise from digital commerce specialists in 15 global hubs, our integrated solutions help brands accelerate profitable growth.

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Profitero is the leading digital commerce analytics platform, helping the world's biggest CPG brands win on the digital shelf. We track what shoppers see and buy across more than a thousand retailers in 70 countries and turn that data into decisions. We are looking for an Associate, Commercial Operations to help us make that happen!

As a part of our Commercial Operations team, you will support some of our most strategically important client relationships. You'll partner closely with internal cross‑functional data acquisition, data quality, and account management teams as well as client partners themselves to ensure the quality and accuracy of our clients' product data, information, and categorization within Amazon and other digital retail media ecosystems.

You'll receive spreadsheets containing large volumes of structured product data and sales information and help to make sense of that information using AI tools, Python scripts, and good old‑fashioned Excel functions and formulas. You'll monitor our existing SLAs and review reporting to ensure that we can identify and proactively address any potential issues.

This is not a strategy or insights role – it is about data attribution and governance. Maximizing the quality and cleanliness of the data that we have, understanding what data we don't have, and objectively interpreting that data to ensure that our strategy and analytics teams and our clients have the best, most accurate, and highest‑quality information possible.

So why choose this role? You'll have a front‑row seat to how enterprise data analytics partnerships actually work at scale and will get broad and meaningful exposure. The variety is the point – we are a lean team and we do real work.

NOTE:

There are no specific geographical requirements for this role. Highly qualified candidates from any U.S.

-based location who are willing to work an ET/CT schedule will be considered and encouraged to apply. Candidates who are local or commutable to a market where Profitero has an office will be expected to work in a hybrid capacity with anticipated onsite engagement an average of 3–4 days/week.

NOTE:

We are not able to provide sponsorship support for this role now or in the future. No third‑party staffing agencies, please.

• Data Attribution & Quality Engineering
  • Make client data better, not just flag it.
  • Investigate item‑level accuracy issues, trace them to root cause, and use Excel, Python, and AI‑assisted workflows to clean, reclassify, and validate product attributes at scale.
  • Translate evolving category standards and naming conventions into structured data rules that can be applied systematically, building attribution that is more accurate and durable.
• SLA Monitoring & Compliance Tracking
  • Ensure we see issues before our clients do by monitoring data availability, reporting lag, and accuracy performance across accounts.
  • Track SLA thresholds and maintain a live view of each account's standing against quarterly commitments.
• Client Governance Support
  • Prepare scorecards, performance summaries, and issue trackers for regularly scheduled meetings.
  • Draft business‑friendly summaries of data quality issues for stakeholders, and track action items from governance forums to ensure resolution.

• 1+ year of professional experience in data, analytics, research, analysis, product management, or a similar field; prior experience with CPG, retail, or marketing industries preferred.
• Bachelor's degree in business, data analytics, economics, information systems, or a related field (experience may be substituted).
• Comfort and experience working with data, AI, and…