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 Central Data team sits at the foundation of everything we deliver. We build the standardized data products, methodologies, and systems that power every downstream business — from our investment research and corporate products to our data feeds. Historically, many teams solved similar data problems independently. Central Data exists to identify those common patterns and build shared solutions that improve quality, consistency, and speed across the company.
What they're looking for
- You have expert fluency in SQL and experience using Python or PySpark, including building reliable, reusable analysis workflows
- You have a proven track record of quickly learning complex data methodologies and building strong mental models of how and why data works
- You have led complex, ambiguous projects with multiple stakeholders - scoping the approach, driving alignment, and delivering outcomes - with a strong bias toward action and ownership
- You calibrate rigor to the stakes - you know how much precision a given decision or problem merits, and you don't over- or under-invest
- You reason about bias and representativeness , not just averages - you ask whether dropped rows, inconsistent formatting, or gaps in coverage are systematically skewed before drawing conclusions
- You're skilled at working with messy, inconsistent datasets and evolving schemas, and you bring the detail-orientation and discipline to make that work reliable
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 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...
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