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Data Lead - Central Data Team

CompraTica Empleos

EMP:Management
USA
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Us 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.

What It's Like to Work Here: 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.

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.

As a Central Data Lead, you'll own one of these foundational data domains end-to-end.

This is a highly analytical product ownership role that combines deep data expertise, systems thinking, technical leadership, and cross-functional execution.

Rather than solving one-off.

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