Data Classification Associate, Corporate

Summary

YipitData is a leading market research and analytics firm specializing in the disruptive economy. They are seeking a Data Classification Associate to manage data quality, improve category classification, and collaborate with cross-functional teams to deliver accurate insights for retail clients.

Responsibilities

• 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

Skills

• 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
• A 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 about 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
• Enjoyment in mentoring peers and raising the quality bar through shared standards and best practices
• Experience supporting market intelligence or data analytics with brand manufacturers and/or retailers, with a strong understanding of their business needs

Qualifications

Must Haves

• 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
• A 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 about 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
• Enjoyment in mentoring peers and raising the quality bar through shared standards and best practices

Nice to Haves

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

Benefits

• Flexible work hours
• Flexible vacation
• A generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement