Data Classification Associate, Corporate

About the role

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.

• Own category hierarchies end-to-end
• Build and refine product taxonomies
• Become a true category expert
• Drive AI-enabled classification
• Create and maintain comprehensive quality assurance processes
• Investigate and resolve data quality issues
• Be the client-facing expert on category data
• Collaborate cross-functionally
• Innovate and mentor

Responsibilities

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

Requirements

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