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… and 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 both 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 client’s 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.

Note that isn’t a strategy or insights role – this 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 in order to be able to develop meaningful and actionable insights, recommendations, and strategies using that data.

This is also not a role where you ll spend your days making decks. You ll be in the data, coordinating across teams, tracking commitments, and making sure our largest clients get what they signed up for. You don’t need to be a developer, engineer, or data scientist to be successful in this role nor do you need a deep background in digital retail or ecomm.

But you DO need to be comfortable with technology, excited about learning new systems and tools, passionate about data, and interested in how companies use that data to drive their business forward… if that sounds like you, we can teach you the rest.

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 FAST. On any given week, you might be analyzing documentation to enhance an AI-built python script, investigating data discrepancies for a major global brand’s Amazon sales, preparing a governance scorecard for a bi-monthly global operating committee, and coordinating with engineering teams to pinpoint problems that require fast, adaptive work to solve.
  
  That variety is the point… we re a lean team, and we do real work.
• You ll also be working at the intersection of operations and data quality at a moment when both are high-stakes for Profitero. Our enterprise clients hold us to demanding SLAs with financial consequences for non-compliance. The work you do has direct bearing on client outcomes and contract renewals.

PLEASE NOTE:
There are no specific geographical requirements for this role; highly qualified candidates from any US-based location who are willing to work an ET/CT schedule will be considered and are 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.

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We are not able to provide sponsorship support for this role now or in the…