Product Data Analyst - Associate Level

Key Responsibilities

• Understand and analyze B2B product workflows, user behavior, and feature performance.
• Support Product Managers in documenting requirements, preparing use cases, and validating new features.
• Perform data analysis to identify trends, issues, and opportunities for improvement.
• Run SQL and MongoDB queries to validate data and ensure product accuracy.
• Use Python (even at a basic level) to automate repetitive tasks, clean data, or test APIs.
• Prepare product reports, insights, dashboards, and competitor research.
• Perform detailed QC & attention-to-detail checks on product features before and after release.
• Collaborate with Engineering and QA teams in a fast-paced release cycle.
• Take ownership of diverse tasks, including documentation, testing, analysis, and research.
  

Requirements

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Business Analytics, or a related field.

• Solid understanding of SQL with the ability to write queries for data validation and analysis.

• Basic working knowledge of MongoDB or other NoSQL databases.

• Familiarity with Python (even at a beginner level) for automation, data cleaning, or API testing.

• Strong analytical and problem-solving skills with the ability to interpret data into actionable insights.

• Experience in documenting use cases, workflows, BRDs, SRS, or user requirements.

• Ability to perform QC and detailed functional testing of product features.

• Good understanding of B2B product workflows, user journeys, and feature analysis.

• Comfortable working closely with Product Managers, Engineering, QA, and other cross-functional teams.