Data & Analytics Lead

This is a fully remote position, open to applicants in Brazil, +3 more countries.

📋 Description

• Establish clear and shared definitions for essential metrics, including acquisition, activation, retention, churn, customer acquisition cost (CAC), and lifetime value.

• Create a cohesive understanding of the customer journey that encompasses marketing, payments, product activity, coaching sessions, and cancellations.

• Conduct analyses on retention and churn to identify the timing and reasons behind customer departures.

• Develop a framework to assess coach quality, integrating metrics related to outcomes, engagement, and satisfaction.

• Build and maintain well-documented analytical data models and dashboards focused on decision-making.

• Identify and address gaps in tracking and data quality by collaborating with engineering and business teams.

• Collaborate with growth, product, operations, and coaching leadership to translate business inquiries into quantifiable analyses.

• Understand and document key data sources and customer journey tapouts within the first three months.

• Align the organization on definitions of its most critical business metrics.

• Provide a dependable initial view of acquisition, retention, churn, and coaching activities.

• Deliver at least one analysis that influences or informs a significant business decision.

• Establish a reliable analytical data foundation that is utilized across the company within six to twelve months.

• Provide leadership with consistent visibility into CAC, retention, lifetime value, and unit economics.

• Develop a fair and actionable framework for assessing and enhancing coaching quality.

⛳️ Requirements

• Strong background in product analytics, business analytics, analytics engineering, or a similar hands-on data role.

• Advanced SQL proficiency and experience handling imperfect data from various systems.

• Strong business acumen — capable of transforming ambiguous questions into measurable analyses.

• Experience with customer funnels, cohort analysis, retention, churn, segmentation, CAC, and lifetime value.

• Proven experience in building analytical data models within a modern data warehouse.

• Ability to work independently in an early-stage setting with limited existing data infrastructure.

• Experience in subscription, marketplace, education, coaching, or consumer services sectors.

• Familiarity with Python, dbt (or similar transformation tools), and contemporary BI platforms.

• Experience as an early or first data hire.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and career advancement.

• Flexible work hours and remote work options.

• A supportive and inclusive company culture.