Join the company, a fast-growing e-learning scale-up, as a Product Analyst. In this role, you'll assist Product, Engineering, and Business teams in answering high-impact questions and making data-informed decisions.
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Key Responsibilities:
- Conduct 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.
- Collaborate with Product, Engineering, and Business stakeholders to define metrics and success criteria.
- Track the adoption and impact of product launches.
- Validate or challenge product hypotheses with data to help shape the roadmap.
Qualifications:
- 3+ years as a Product Analyst, Data Analyst, or similar, preferably 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 in building dashboards and reports in Power BI, including data modeling and DAX.
- Experience in building analytics apps or internal tools using Streamlit.
- Proven ability to convert ambiguous business questions into structured analysis and clear recommendations.
- Experience in conducting 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 skills, and exceptional attention to detail.
Preferred Skills:
- Exposure to experimentation and A/B testing.
- Experience building AI agents or automated analytics workflows on Snowflake (e.g., Cortex AI, Snowflake notebooks).
- Familiarity with analytics platforms like Mixpanel or Segment.
- Understanding of 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).
Language Requirements: Proficiency in English is necessary; additional languages are a plus.
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!
