Lead Data Analyst, Growth & Experimentation
New
J
JobgetherDigital marketplace
Based in Brazil, Coordinate overlapping hours with US-based teams.Full-TimeLead
Salary75,000 - 100,000 USD per year
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Job Details
- Required Skills
- PythonSQLA/B testingdbt
Requirements
- Strong professional experience in data analytics, product analytics, growth analytics, or experimentation.
- Advanced SQL skills and ability to independently build and maintain analytical models.
- Practical Python experience, particularly for statistical calculations, automation, and analytical tooling.
- Experience with dbt and Lightdash or comparable data transformation and business intelligence platforms.
- Strong statistical knowledge, including experimental design, power and sample-size calculations, significance testing, novelty effects, and interaction effects.
- Demonstrated experience designing, evaluating, and interpreting A/B tests and other experimentation methods.
- Understanding of experiment instrumentation, including event tracking, randomization, Segment, and Flagsmith.
- Experience building and analyzing acquisition-to-conversion funnels and understanding CAC, LTV, conversion rates, and channel economics.
- Familiarity with attribution challenges, seasonality, and channel mix in growth and performance marketing.
- Ability to identify tracking and data-quality issues and ensure experiments produce reliable results.
- Daily use of AI tools such as Claude, ChatGPT, or similar for SQL, dbt, statistical analysis, and experimentation workflows.
- Ability to work independently, extend automation, and develop scalable self-service analytical solutions.
- Strong communication and stakeholder management skills to influence product and marketing decisions without direct authority.
- Ability to translate statistical findings into clear recommendations, challenge assumptions, and communicate uncertainty.
- Comfort operating as a senior individual contributor without direct people-management responsibilities.
Responsibilities
- Lead experimentation across web funnels, SMS and email campaigns, sales-led initiatives, and SEO.
- Define experiment standards for statistical power, sample sizes, significance thresholds, and analysis plans.
- Identify underpowered tests, false positives, tracking issues, and attribution problems.
- Apply anytime-valid statistical monitoring to ongoing experiments.
- Develop self-service experimentation capabilities, including automated Growth metrics in Lightdash, Python statistical tools, and AI-powered workflows.
- Maintain and extend AI routines for pre-test power calculations and live-test health monitoring.
- Build and maintain an acquisition-to-conversion funnel across brands and channels.
- Analyze CAC, LTV, conversion rates, attribution, and channel performance to support investment decisions.
- Collaborate with CRO, performance marketing, and Growth product leaders to turn findings into recommendations.
- Establish analytics standards, documentation, and a Growth experimentation playbook; evaluate experimentation tools.
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