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.

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 Signals:

- Signals is YipitData’s Company Intelligence platform designed to help private equity firms, venture capital investors, finance, and corporate teams identify, diligence, and monitor software and technology companies using alternative data. Signals provides proprietary spend insights on 250K+ companies into a unified web platform, Chrome extension, and data feeds.
- Customers use Signals to discover emerging companies, validate market trends, conduct diligence with deeper data (including invoice and product-level detail), and monitor portfolio performance using continuously refreshed alternative data

About The Role:

Our Signals product is quickly growing, and we are scaling our Data Product team to support new customer growth and product coverage expansion through our application, data feeds and AI agent experiences. We are looking for a highly skilled and experienced Senior Data Product Analyst to join our Data Product team. This individual will be responsible for managing a team of Data Product Analysts and will own end-to-end delivery for product initiatives, translating product goals into clear plans,



leading execution, and ensuring impact across analysis, data operations, and QA workflows.

As a Senior Data Product Analyst, Team Lead, you will:

- Own strategy and end-to-end execution for a portfolio of high-impact data product initiatives, driving measurable product value through strong product and data judgment
- Lead a team of 2+ Data Analysts who:
- Deliver product-facing analyses and datasets, turning messy inputs (ERP financial data, web scraped data, invoices) into clean data insights
- Build and maintain evaluation datasets and QA guidelines to measure and improve our AI and LLM powered workflows including defining quality targets, running experiments, and iterating based on results
- Partner with Engineering to translate product needs into scalable workflows for our data products including defining business rules /requirements and improving QA / validation logic
- Work primarily in Databricks, Google Sheets and with our proprietary AI agent tools, leveraging SQL, PySpark, and Python
- Operate as a player-coach, setting a high bar for speed, rigor, and innovation, balancing hands-on efforts yourself for the highest-impact work (complex analyses, ambiguous edge cases, AI evaluation design, and deep dive investigations) with coaching the team so execution scales beyond you
- Own delivery planning and alignment, translate product goals into clear requirements and execution plans (scope, milestones, risks), apply strong product and data judgment to define what matters, and keep stakeholders aligned through consistent updates
- Run delivery day to day, drive prioritization and tradeoffs across competing req

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