Join the company, 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.
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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).
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!
