Data Analyst II

About Us

Yipit Data 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, ride sharing, 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, APAC, 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.

Yipit Data 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.

• Ownership is real, not aspirational. An analyst here can own a data product end-to-end — from methodology to client delivery — and present directly to the investors who depend on it. You won't spend months waiting for "meaningful work."
• Growth is driven by impact
  , not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here.
• AI is a core working tool, not a side project. We're actively rebuilding how analytical work gets done — using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited about that, you'll thrive here.

You’ll be joining the data feeds part of our organization, focusing on Kepler, a tractions feed that tracks over $45 billion in US consumer transactions across 600+ merchants and 200+ tickers.

Our data feeds help the world's top investors understand company performance, market trends, and competitive dynamics. Kepler serves both fundamental investors, who use our data to inform research and investment theses, and systematic funds, who integrate our feeds directly into quantitative models and trading strategies. This dual audience, along with daily feed delivery on a very short lag, means the bar for accuracy, consistency, and reliability is exceptionally high.

As a Data Analyst for Kepler, you'll ramp quickly and build deep expertise in our third-party and proprietary datasets and methodologies. Working closely with customers, Product, Data Science, and Engineering, you'll take full ownership of the Kepler data — ensuring accuracy, improving methodologies, implementing QA frameworks, and prototyping enhancements that engineering will turn into robust, reliable data pipelines.

This is a role for someone who wants to go deep on hard analytical problems, takes pride in getting the details right, and is motivated by owning work that matters. You'll work cross-functionally with teams across the organization to deliver best-in-class outputs. You'll also be expected to bring ideas, not just execute on others.

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding.

• Own Kepler data content end-to-end — driving product success by delivering best-in-class outputs with a focus on accuracy, and continuously increasing client value.
• Work with massive amounts of data and develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
• Tackle complex data problems using strong analytical judgment to refine…