Data Product Analyst, Signals

Company: YipitData
Industry: Data Science & Analytics
Location: USA

<p><strong>About Us:</strong></p>
<p>YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.</p>
<p>Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.</p>
<p>We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by <em>Inc.</em> as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.</p>
<p><strong>What It’s Like to Work at YipitData:</strong></p>
<p>YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.</p>
<p>From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.</p>
<p>Why Top Talent Chooses YipitData:</p>
<ul>
<li><strong>Ownership That Matters</strong>: You’ll lead high-impact projects with real business outcomes</li>
<li><strong>Rapid Growth</strong>: We compress years of learning into months</li>
<li><strong>Merit Over Titles</strong>: Trust and responsibility are earned through execution, not tenure</li>
<li><strong>Velocity with Purpose: </strong>We move fast, support each other, and aim high—always with purpose and intention</li>
</ul>
<p>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.</p>
<p><strong>YipitData Signals:</strong></p>
<p>YipitData Signals is the platform we’re building to help private investors see how any private company is performing, leveraging numerous proprietary spend datasets with more data on the way. We launched coverage late last year with data on 250k+ AI and Software vendors, and we’re quickly scaling both the platform and the org.</p>
<p>Signals is a small and scrappy team operating inside a billion-dollar company, which means you get the best of both worlds: startup speed with enterprise resources. We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you can see the direct impact of your work, move from idea to execution in days (not quarters), and want to help shape a product's trajectory from the ground floor, this is the place for you.</p>
<p><strong>About the Role:</strong><strong><br /></strong>We are looking for a Data Product Analyst to join the Signals team and help us hit our ambitious 2026 goals. This is not a role where you'll be a cog in a machine. On a small team building a product at a rapid pace, you'll operate across many surfaces: vetting new data sources, running customer-facing analysis, building product feedback loops, and designing pipeline refactors to improve accuracy. You'll be expected to ramp up fast, take ownership immediately, and operate with a high degree of autonomy. We're looking for someone with 4–6 years of experience who is eager to deepen their data analysis skill set, get direct exposure to private investor clients, and thrive in a fast-moving, high-accountability environment.</p>
<p><strong>As a Data Product Analyst, you will:</strong></p>
<ul>
<li>Become a core owner of Signals data products – you will help prioritize and vet new data sources and design their incorporation into our pipelines and platform </li>
<li>Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems </li>
<li>Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients</li>
<li>Investigate and resolve complex data quality issues independently. On a small team, there's no one to hand things off to; you own the problem through to resolution</li>
<li>Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations</li>
<li>Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement</li>
<li>Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast—whe…