Daily intelligence on 12M+ consumers and 2,000 companies. Alternative data for brands, retailers, and investors with SKU-level precision. Backed by Norwest.
About the role
YipitData's Data Feeds team transforms our proprietary datasets into commercial data products used by many of the world's largest hedge funds, asset managers, and quantitative investors. Our products help investors answer questions about consumer spending, enterprise software adoption, cloud infrastructure, healthcare, and dozens of other markets—using proprietary datasets that clients integrate directly into their investment workflows.
What they're looking for
- You have 4+ years of experience in data analytics , with a background in financial services, consulting, data science, product analytics, or another environment where complex data informs high-stakes decisions
- You have advanced SQL skills and experience using Python or PySpark to build reliable, reusable analytical workflows
- You enjoy building products—not just analyzing data—and naturally think about how information should be packaged, delivered, and experienced by customers
- You quickly develop strong mental models for complex datasets and enjoy reasoning through ambiguity to identify root causes and improve methodologies
- You have led complex cross-functional projects involving Product, Engineering, or analytical stakeholders and are comfortable driving work from idea to execution
- You know how to balance rigor with pragmatism, making thoughtful tradeoffs between speed, quality, and long-term product value
More about this role
YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions.
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.
- Ownership is real, not aspirational. An analyst here can own a data product end-to-end—from methodology to client delivery—and directly influence products used by many of the world's largest investment firms.
- 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. 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 by that, you'll thrive here.
YipitData's Data Feeds team transforms our...
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