Data Product Analyst (Corporate)

Role Overview

As a Data Product Analyst (Corporate) at YipitData, you’ll manage data quality end-to-end, resolve complex data issues across pipelines and sources, and improve category classification and product attribution. You’ll work closely with Insights and Engineering and gain direct exposure to retail clients.

Key Missions

• Own data quality end-to-end: identify issues, resolve problems across data pipelines and sources.
• Improve classification & attribution: enhance category classification and product attribution quality.
• Build and run QA processes to ensure accuracy and reliability across assigned sector products and client deliverables.
• Collaborate cross-functionally with Insights and Engineering to align on best practices.
• Develop technical solutions that streamline workflows.

Requirements

• 4–6 years of experience in data analytics, data operations, or consulting.
• Strong ownership and ability to thrive in ambiguity and rapid growth.
• Experience using sample/panel data for precise estimates that inform decisions.
• Ability to communicate complex concepts clearly (oral and written) to internal and external stakeholders.
• Ability to manage multiple projects, independently prioritize, and make decisions based on client needs.
• SQL and Python plus PySpark (or other programming languages) to explore and transform large datasets.
• Familiarity with GitHub and Databricks.

Nice to Have

• Experience in market intelligence / data analytics for consumer clients (consulting or alternative data company).
• Strong interest in mentoring peers and raising the quality bar through shared standards and best practices.