Lead Data Analyst, Growth & Experimentation
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Lead Data Analyst, Growth & Experimentation based in Brazil.
Join a data-driven team at a growing digital marketplace, where experimentation and analytical rigor play a central role in business growth. As the first analyst fully dedicated to Growth and Experimentation, you will lead the analytical strategy behind testing initiatives across acquisition and conversion channels. You will design robust experiments, establish statistical standards, and turn complex findings into actionable recommendations that improve business performance. Working closely with Growth leadership, product managers, and marketing teams, you will help optimize the full acquisition-to-conversion funnel across paid, organic, and partner channels. You will also expand existing analytics automation and AI-powered tools to make experimentation more scalable and accessible. This is a highly autonomous individual-contributor role with meaningful influence on strategic decisions and measurable growth outcomes.
Accountabilities
- Lead the experimentation program across web funnels, SMS and email campaigns, sales-led initiatives, and SEO experiments.
- Define experiment design standards, including statistical power, sample sizes, significance thresholds, and analysis plans.
- Identify underpowered tests, false positives, tracking issues, and attribution problems before they lead to inaccurate business decisions.
- Apply anytime-valid statistical monitoring to support reliable decisions during ongoing experiments.
- Develop and improve self-service experimentation capabilities, including automated Growth metrics in Lightdash, Python-based statistical significance tools, and AI-powered workflows.
- Maintain and extend existing AI routines supporting pre-test power calculations and live-test health monitoring.
- Build and maintain a trusted acquisition-to-conversion funnel covering visitors, leads, and customers across brands and channels.
- Analyze customer acquisition ...
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