Senior Data Analyst

Role overview A senior data analyst role embedded in a small data team at a B2B SaaS company, focused on tackling open-ended product and commercial questions with depth and autonomy. The work blends proactive investigation with hands-on modeling, directly influencing product and go-to-market decisions.

Responsibilities - Investigate drivers of account growth, retention, and expansion, translating findings into actions for Sales and Customer Success. - Map how customers actually use the product, identifying the workflows that stick and patterns of healthy adoption. - Pick unanswered questions, address them, and use the results to change a product or go-to-market decision. - Build and maintain the dbt models and Looker views that make future analysis possible. - Partner closely with Product, Sales, Customer Success, and leadership to frame the right problems. - Use AI tools, especially Claude Code, as a default part of daily analytical work.

Requirements - 5+ years of analytics experience at fast-growing B2B SaaS startups or scaleups, with a track record of shaping product or commercial decisions. - Strong SQL plus professional experience with dbt and a BI tool; Looker is a strong plus. - Solid Python for analysis and scripting. - Hands-on experience across both product analytics and commercial analytics, including experimentation, funnel, retention, and pricing. - Demonstrated ability to drive an analytical agenda with minimal guidance. - Excellent written and spoken English, with the ability to explain complex findings clearly.

Nice to have - Experience with marketplaces or two-sided platforms. - Background in vertical SaaS, construction tech, or procurement. - Experience with BigQuery.