Lead Data Analyst, Growth & Experimentation

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Lead the experimentation program encompassing web funnels, SMS/drip campaigns, sales-driven tests, and SEO assessments.

• Design experiments, determine power and sample sizes, and set standards for significance and reporting.

• Identify underpowered tests and false positives before they lead to misguided decisions.

• Implement ongoing monitoring, automated daily SRM and attribution health checks, along with AI-enhanced experimentation tools.

• Develop automated Growth metrics using Lightdash and Python-based statistical-significance tools.

• Create and maintain the acquisition-to-conversion funnel model across various brands and through paid, organic, and partner channels.

• Provide analyses of CAC, LTV, and conversion rates to inform investment prioritization.

• Establish scalable Growth analytics standards and a playbook by the conclusion of Year 1.

• Advise on whether to purchase or develop the experimentation stack.

• Collaborate closely with the Director of CRO, performance marketing team, Growth PMs, and CEO regarding experiment design and strategic decisions.

• Present analyses that lead to measurable improvements in conversion rates.

• Ensure instrumentation quality and maintain accurate experimentation automation as products and tracking systems evolve.

⛳️ Requirements

• Proficient in SQL.

• Basic Python skills to automate statistical-significance calculations.

• Familiarity with dbt and Lightdash.

• Capability to independently build data models without reliance on data engineering.

• Understanding of test design elements, including power, significance, novelty, interaction effects, and scenarios where testing is inappropriate.

• Experience with Segment events and Flagsmith randomization.

• Comprehension of CAC, LTV, conversion rates, attribution complexities, seasonality, and channel mix.

• Proficient in utilizing AI daily for SQL, dbt, and analysis pressure-testing.

• Ability to influence PMs and marketers without formal authority.

• Skill in clearly articulating issues with experiments and uncertainties.

• Individual contributor mindset; this role does not involve people management.

🏝️ Benefits

• Base salary: $75,000–$100,000 USD annually.

• Access to AI tools: Claude routines are already operational in parts of the experimentation process.

• Fully remote work environment.

• Flexible paid time off.

• Focus on outcomes measured by results rather than hours worked.