US Remote Hybrid Full-time Up to USD 130,000 / year

YipitData is hiring a Data Classification Associate, Corporate

Requirements

  • 3-5 years of experience in data analytics, data operations, category mapping, or consulting
  • 2+ years of experience working with SQL, Python, PySpark, or other programming languages to explore and transform large, complex datasets
  • Familiarity with GitHub and Databricks
  • Proven track record of quickly learning new concepts, particularly complex category definitions and client needs
  • Ability to clearly communicate complex concepts, both orally and in writing
  • Strong ownership mentality and enthusiasm for making a big impact at a rapidly growing company
  • Ability to manage multiple projects simultaneously, independently prioritize tasks, and make strategic decisions based on client needs
  • Enjoy mentoring peers and raising the quality bar through shared standards and best practices

Nice to Have

  • Experience supporting market intelligence or data analytics with brand manufacturers and/or retailers, with a strong understanding of their business needs

Work Arrangement

Hybrid — NYC, Austin, Miami, Denver, Mountain View, Seattle, US (remote)

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

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.

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 — Serve as a trusted resource for internal and external stakeholders by understanding client needs and aligning them with our category definitions, methodological limitations, and coverage
  • Collaborate cross-functionally — Partner with Insights, Sector Data, Data Validation, and Engineering teams to align on best practices, develop technical solutions that streamline workflows, optimize data processes, and expand automation
  • Innovate and mentor — Proactively identify opportunities to improve efficiency, robustness, and data quality within your team's workflows; create robust processes that challenge the status quo; and mentor peers by raising the quality bar through shared standards and best practices

You Are Likely To Succeed If

  • You have 3-5 years of experience in data analytics, data operations, category mapping, or consulting
  • You have 2+ years of experience working with SQL, Python, PySpark, or other programming languages to explore and transform large, complex datasets; Familiarity with GitHub and Databricks
  • You have a proven track record of quickly learning new concepts, particularly complex category definitions and client needs
  • You can clearly communicate complex concepts, both orally and in writing
  • You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company
  • You can manage multiple projects simultaneously, independently prioritize tasks, and make strategic decisions based on client needs
  • You enjoy mentoring peers and raising the quality bar through shared standards and best practices

Preferred

Experience supporting market intelligence or data analytics with brand manufacturers and/or retailers, with a strong understanding of their business needs

What We Offer

  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.
  • The annual on-target earnings for this position is anticipated to be up to $130K annually. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.

Additional Information

  • Flexible work hours
  • Flexible vacation
  • Generous 401K match
  • Parental leave
  • Team events
  • Wellness budget
  • Learning reimbursement
  • East Coast work hours expected
  • Income may be subject to New York State tax withholding if remote work is performed outside of NYC offices
  • Not open to candidates who require visa sponsorship now or in the future
Required Skills
Data AnalyticsGitHubDatabricks
About company
YipitData
YipitData is the leading market research firm for the disruptive economy. The company analyzes billions of data points daily to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. It uses proprietary technology to identify, license, clean, and analyze data used by major investment funds and corporations.
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Job Details
Department Corporate Retail & Brands
Category data
Posted 7 days ago