We're a small data team with a big job: helping everyone at Cosuno make better decisions. Our data platform is stable and in good hands. What we need now is someone who takes our most important, open-ended business questions and answers them properly: in depth, with little guidance, and often before anyone thought to ask.
You'll work across product and commercial topics. How do general contractors and subcontractors actually use our platform? What makes some accounts grow into company-wide rollouts? Which levers move our funnel the most? You'll work closely with Product, Sales, Customer Success and leadership, and we expect you to have opinions.
In your first few months, you might:
Work out what drives account growth: which behaviours predict long-term retention and expansion, and how Sales and Customer Success can act on them.
Map how our customers really use the product: which workflows stick, where new features find their audience, and what healthy adoption looks like in an account's 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.
Questions Over Tickets: You don't wait for requests. You figure out what matters and go after it.
Depth Over Dashboards: One analysis that changes a decision beats ten reports nobody reads.
Pragmatic by Default: Simple processes, fast iterations, and the lightest method that gives a trustworthy answer.
Clarity Wins: A finding is only as good as how well others understand it and act on it.
AI-Native by Default: We work heavily with Claude Code and other AI tools and expect everyone to use them fluently.
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 (a strong command of Looker is a big plus). You build the models and views you need instead of waiting for them.
Solid Python for analysis and scripting.
Strong, hands-on familiarity with AI tools, especially Claude Code, and a habit of using them in your daily work.
Excellent written and spoken English. You can explain a complex finding in one clear paragraph.
Experience with marketplaces or two-sided platforms.
Experience in vertical SaaS, construction tech or procurement.
Experience with BigQuery.
Leads lifecycle marketing analytics, turning member behavior and campaign data into actionable insights, measurement frameworks, and self-serve tools that improve retention, engagement, and customer lifetime value.
Own the marketing data pipeline from extraction through BigQuery modeling and Tableau reporting, delivering accurate analysis, predictive insights, and dashboards that guide acquisition, retention, and budget decisions.
Own analytical projects that improve revenue, profitability, and operational performance across the insurance business, turning complex data into actionable recommendations and measuring their impact.
Diagnose performance shifts across collections portfolios and channels, trace root causes through data and platform logic, and turn findings into experiments, forecasts, and actionable strategies that improve recovery outcomes.
Own GTM analysis and data models across Sales, Marketing, and Client Success, turning complex questions into decisions while shaping BI-as-code and AI-powered analytics workflows.
