Product Analyst

About this role

We’re looking for a Product Analyst to turn product usage data into clear insights that shape what we build next and how our customers get value from it. 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).