Product Analyst

About Easygenerator Join Easygenerator, a fast-growing e-learning scale-up, as a Product Analyst. You'll help Product, Engineering, and Business teams answer high-impact questions and make data-informed decisions. What you will be doing Run deep dive analyses and root cause investigations into product and business metrics. Build and maintain dashboards and self-service reporting. Scale analytics through AI-powered tools, including AI agents built on Snowflake and Claude-based workflows. Partner with Product, Engineering, and Business stakeholders to define metrics and success criteria. Track adoption and impact of product launches. Validate or challenge product hypotheses with data to help shape the roadmap. What you will bring 3+ years as a Product Analyst, Data Analyst, or similar, 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 (Pandas, data wrangling, scripting). Experience building dashboards and reports in Power BI, including data modeling and DAX. Experience building analytics apps or internal tools using Streamlit. Proven ability to turn ambiguous business questions into structured analysis and clear recommendations. Experience running root cause analyses and communicating findings to stakeholders. Solid understanding of product metrics, funnels, cohort analysis, and user behavior data. Strong data storytelling skills and a data quality mindset. Ownership mindset, strong problem-solving abilities, and attention to detail. Nice to have Exposure to experimentation and A/B testing. Experience building AI agents or automated analytics workflows on Snowflake (e.g. Cortex AI, Snowflake notebooks). Experience using Claude or similar AI assistants for analytics work, including MD-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 (star/snowflake schemas). Experience working with semi-structured data (JSON). Ready to Join Us? If you're curious about the "why" behind the numbers and want to help teams make smarter decisions with data, we'd love to hear from you. Apply today!