Senior Data Analyst

Stack

Responsibilities

• ▹Work out what drives account growth and which behaviours predict long-term retention and expansion
• ▹Map how customers really use the product: which workflows stick, where new features find their audience, and what healthy adoption looks like in the first months
• ▹Pick a question nobody has asked yet, answer it, and change a product or go-to-market decision with the result
• ▹Build the dbt models and Looker views your analyses need, so the next person can answer the question themselves
• ▹Work closely with Product, Sales, Customer Success and leadership

Requirements

• ▹5+ years in analytics at fast-growing startups or scaleups, ideally B2B SaaS, where your work shaped product or commercial decisions
• ▹An exceptional ability to reason through ambiguous business problems: framing the right question, choosing a sound approach, and landing on a clear recommendation
• ▹Hands-on experience in both product analytics (usage, adoption, engagement, experimentation) and commercial analytics (retention, expansion, funnel, pricing)
• ▹A track record of driving your own analytical agenda with minimal guidance
• ▹Strong SQL and professional experience with dbt and a BI tool
• ▹Solid Python for analysis and scripting
• ▹Strong, hands-on familiarity with AI tools, especially Claude Code, used in your daily work
• ▹Excellent written and spoken English

Nice to have

• ▹A strong command of Looker
• ▹Experience with marketplaces or two-sided platforms
• ▹Experience in vertical SaaS, construction tech or procurement
• ▹Experience with BigQuery

Soft skills

About the company

Cosuno's data team is small, yet it helps everyone at the company make better decisions. The data platform is stable, the team focuses on answering deeper product and commercial questions, and it works heavily with AI tools such as Claude Code.