Product Analyst

Role Overview

Product Analyst at Easygenerator, a fast-growing e-learning scale-up. You will help Product, Engineering, and Business teams answer high-impact questions and make data-informed decisions.

Role Purpose

You will deliver deep analytical insights and scalable analytics infrastructure to drive data-informed decision-making across product, engineering, and business functions.

Key Responsibilities

Analysis & Insights

• Run deep dive analyses and root cause investigations into product and business metrics.
• Validate or challenge product hypotheses with data to help shape the roadmap.
• Run root cause analyses and communicate findings to stakeholders.

Analytics Infrastructure & Reporting

• Build and maintain dashboards and self-service reporting.
• Scale analytics through AI-powered tools, including AI agents built on Snowflake and Claude-based workflows.
• Build analytics apps or internal tools using Streamlit.

Stakeholder Partnership & Metrics

• Partner with Product, Engineering, and Business stakeholders to define metrics and success criteria.
• Track adoption and impact of product launches.
• Turn ambiguous business questions into structured analysis and clear recommendations.

Qualifications & Experience

• 3+ years as a Product Analyst, Data Analyst, or similar role, ideally in B2B SaaS.
• Advanced SQL skills, including complex joins, window functions, and query optimization on large datasets.
• Strong hands-on experience with Snowflake for querying, modeling, and analytics workflows.
• Proficiency in Python for data analysis and automation, including Pandas, data wrangling, and scripting.
• Experience building dashboards and reports in Power BI, including data modeling and DAX.
• Proven ability to run root cause analyses and communicate findings to stakeholders.
• Solid understanding of product metrics, funnels, cohort analysis, and user behavior data.

Skills & Competencies

• Advanced SQL including complex joins, window functions, and query optimization.
• Snowflake for querying, modeling, and analytics workflows.
• Python for data analysis and automation including Pandas and data wrangling.
• Power BI dashboard and report building with data modeling and DAX.
• Streamlit for building analytics apps and internal tools.
• Data storytelling and data quality mindset.
• Ownership mindset, strong problem-solving abilities, and attention to detail.

Additional Information

Nice to Have

• Exposure to experimentation and A/B testing.
• Experience building AI agents or automated analytics workflows on Snowflake, such as Cortex AI or Snowflake notebooks.
• Experience using Claude or similar AI assistants for analytics work, including markdown-based skills, prompts, and agent workflows.
• Experience with product analytics platforms such as Mixpanel or Segment.
• Familiarity with marketing or revenue analytics and attribution models.
• Experience with dimensional modeling and modern data warehouse concepts including star and snowflake schemas.
• Experience working with semi-structured data such as JSON.