Data Product Associate

About YipitData:

YipitData is the market-leading data and analytics firm. We analyze billions of data points every day to provide accurate, detailed insights across industries, including consumer brands, technology, software, and healthcare.

Our insights team uses proprietary technology to identify, license, clean, and analyze the data that many of the world’s largest investment funds and corporations depend on. We raised $475M from The Carlyle Group at a valuation over $1B, further accelerating our growth and market impact.

We have been recognized multiple times as one of Inc’s Best Workplaces. As a fast-growing company backed by The Carlyle Group and Norwest Venture Partners, YipitData is driven by a people-first culture rooted in mastery, ownership, and transparency.

With offices in New York, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, we continue to expand our reach and impact across global markets.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

About the Role:

We currently have 60+ Data team members in our Investor business who build, create and maintain our data products, and we are looking to further expand the team to continue to increase our product portfolio. Those with strong analytical skills who are passionate about data and excited to scale quickly to deliver top-tier products to our clients are encouraged to apply. 

At YipitData, we value ownership and impact. Your growth is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. Our career ladder also rewards strong performance with regular opportunities for compensation increases and promotions. 

See this short video to learn more about our organization, product, and why some of our current data team members love working here!

As a Data Associate, you will:

• Ramp up quickly to become the primary owner for high-impact data products, driving product success by delivering best-in-class products with a focus on accuracy, client value, and efficiency. 
• Work with massive amounts of data to help answer our clients’ key questions about the companies we cover and datasets we analyze. You will learn about our proprietary methods and techniques to ensure data accuracy and derive key insights.
• Tackle complex data problems, using your analytical skills to refine methodologies, test new datasets, and solve data-related problems that require innovative solutions
• Become a manager, mentoring junior teammates, shaping process improvements, and helping your team build valuable skillsets and drive impact at the company

Become a trusted and reliable resource for our clients. You'll gain insight into how investors use data in their investment decisions by contributing to custom analysis or data reports that are consumed by the top investors in the world.Collaborate cross-functionally with other teams including Research and Engineering to align on best practices to deliver customer value and develop technical solutions that further streamline workflows, optimize data processes, and push the boundaries of automation.

• Drive strategic decisions to improve our products and data pipelines, identifying and executing on ways we can improve product profitability and deliver outstanding value to clients. This could include developing entirely new methodologies and features or exploring and scaling use across the data team of new t