Lead Data Analyst, Growth & Experimentation

This is a fully remote position, open to applicants in Brazil, +2 more countries.

📋 Description

• Take charge of the experimentation initiative across web funnels, SMS/drip campaigns, sales-driven tests, and SEO experiments.

• Create experiments while making decisions on power, sample size, significance, and readout standards.

• Identify underpowered tests, false positives, tracking discrepancies, and attribution challenges.

• Implement continuous monitoring, automated health checks, Lightdash metrics, Python statistical tools, and AI capabilities.

• Develop a reliable acquisition-to-conversion funnel model spanning various brands and channels.

• Perform analyses on CAC, LTV, and conversion rates to prioritize Growth investments.

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

• Advise on whether to acquire or create the experimentation infrastructure.

• Collaborate with the Director of CRO, performance marketing teams, Growth PMs, and the CEO.

• Provide insights that lead to measurable improvements in conversion rates.

⛳️ Requirements

• Proficiency in SQL.

• Sufficient knowledge of Python to automate statistical significance calculations.

• Familiarity with dbt and Lightdash.

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

• Daily engagement with AI for SQL, dbt, and analysis stress-testing.

• Experience in experiment design, including power, significance, novelty effects, and interaction effects.

• Understanding of Segment events and Flagsmith randomization.

• Knowledge of CAC, LTV, attribution, seasonality, and channel composition.

• Skill in articulating issues with flawed experiments in accessible language.

• Ability to sway PMs and marketers without formal authority.

• Experience working on acquisition-to-conversion funnels across paid, organic, and partnership channels.

🏝️ Benefits

• Access to AI tools: Claude routines are already in place to facilitate parts of the experimentation workflow.

• Opportunity for fully remote work.

• Flexible PTO based on outcomes rather than hours tracked.

• Role as the first analyst focused solely on Growth and Experimentation.