Data Product Analyst, Signals

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.

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.

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 Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

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.

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.

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.

• 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 
• Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems 
• Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients
• 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
• 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
• Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement
• Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast—whether that's adding new data to the platform, improving accuracy, or reducing data lag times
• Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements
• Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and build AI automation where possible

• You have 4–6 years of experience in data analytics, data operations, consulting, or a related field
• You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets, and you’re familiar with GitHub and Databricks
• You have experience using sample or panel data to make precise estimates that guide decision-making
• You proactively experiment with AI tools to increase speed, depth, and efficiency of analysis, and to unlock new approaches to problem-solving
• You are scrappy and resourceful—you figure things out without waiting to be told what to do
• You thrive in ambiguity and fast-paced environments where priorities shift, and you need to adapt quickly
• You have excellent attention to detail and a natural instinct for spotting data anomalies
• You communicate clearly and concisely—both in writing and verbally
• You are intellectually curious about technology markets, business trends, and care about how data is used to influence decision-making
• You take ownership of problems and drive them to completion without constant oversight—on a small team, self-direction is essential

• An outsized role on a small, high-growth team where your contributions are immediately visible and directly tied to revenue outcomes
• The chance to help build a product from its early stages inside a well-funded, billion-dollar company
• Exposure to top-tier PE firms and hedge funds as clients
• Rapid professional development through breadth of responsibility
• A team culture that values moving fast and building something great together
  
  

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice 

<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=4341228&conversionId=10486642&fmt=gif" />