Data Classification Associate, Corporate

Coinscapture; Northern (KY); Hybrid; USD 70,000 - 100,000; Full time

Job summary

YipitData is hiring a Data Classification Associate to lead end-to-end category hierarchies, refine taxonomies across millions of SKUs, and collaborate with cross-functional teams to ensure data accuracy. You’ll become a domain expert on products, brands, and classification rules, while driving AI-enabled improvements and robust QA processes.

This remote-friendly role can sit in NYC or anywhere in the US, with East Coast work hours and potential NY state tax withholding depending on location.

Qualifications

• Strong data analysis and data quality focus.
• Experience building and refining product taxonomies.
• Ability to translate complex problems for clients and internal teams.
• Familiarity with AI-enabled classification approaches is a plus.

Responsibilities

• Own category hierarchies end-to-end and ensure accuracy.
• Build and refine product taxonomies across large datasets.
• Develop deep knowledge of products, brands, and classification rules.
• Design and run QA processes to catch error patterns.
• Diagnose and fix data quality problems independently.
• Be the client-facing expert on category data.

Skills

Data analysis

Category management

Taxonomies

AI-enabled classification

Quality assurance

Client communication

Education

Bachelor's degree in a quantitative field

Job description

About Us:

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, 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 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 The Role:

YipitData’s Corporate Retail & Brands team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why—and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape.

As part of our continued growth, we are expanding the Data team within our Corporate practice and are excited to welcome a Data Classification Associate to help deliver the most accurate category insights to our Retail clients.

This is an excellent opportunity for a professional with 3-5 years of experience who is eager to deepen their data analysis skill set, gain direct exposure to clients, and join a rapidly growing team at YipitData. In this role, you will independently manage data quality at the item level end-to-end, resolve complex definitional & methodological issues in our hierarchies, improve category classification and product attribution, collaborate closely with cross-functional partners to ensure our data is accurate, reliable, and clearly understood, and help our clients understand our methodology and data limitations.

This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys helping clients get the most value from our data, able to communicate complex problems in simple terms to internal and external stakeholders.

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. We expect East Coast work hours.

As a Data Classification Associate, You Will:

• Own category hierarchies end-to-end — Ramp up quickly to become the primary owner of high-impact category hierarchies, delivering best-in-class outputs with a focus on accuracy, client value, and efficiency
• Build and refine product taxonomies — Construct new category hierarchies across retail product categories with high accuracy and reliability, covering large-scale datasets (millions of SKUs)
• Become a true category expert — Develop deep knowledge of key products, franchises, brands, and how they should be classified, and build rules and methodologies rooted in domain expertise
• Drive AI-enabled classification — Understand existing mapping solutions and transform them into scalable, AI-enabled approaches that improve speed and consistency
• Design and run QA processes — Create and maintain comprehensive quality assurance processes that catch error patterns that LLMs and manual review miss
• Investigate and resolve data quality issues — Independently diagnose and fix complex data quality problems, including definitional and methodological challenges in our hierarchies
• Be the client-facing expert on category data — Se...