Data & Analytics Lead

1 day, 17 hours ago
Full-time
Lead
Data Science and Analytics
tapouts

tapouts

tapouts is a company dedicated to preparing one million children by 2025 to face future challenges by transforming stress into success. Their methodology integrates psychology, neuroscience, and education to provide impactful coaching sessions that pro...

Family Services
11-50
Founded 2021

Description

  • Define shared metrics for acquisition, activation, retention, churn, CAC, and lifetime value.
  • Build a unified customer journey view across marketing, payments, product activity, coaching, and cancellations.
  • Develop retention and churn analyses to identify when and why customers leave.
  • Create a framework for evaluating coaching quality using outcomes, engagement, and satisfaction.
  • Build and maintain documented analytical data models and decision-oriented dashboards.
  • Identify tracking and data-quality gaps and partner with engineering and business teams to resolve them.
  • Translate questions from growth, product, operations, and coaching teams into measurable analyses.
  • Document major data sources and the customer journey.
  • Deliver reliable reporting on acquisition, retention, churn, coaching activity, CAC, lifetime value, and unit economics.

Requirements

  • Strong experience in product analytics, business analytics, analytics engineering, or a comparable hands-on data role.
  • Advanced SQL skills and experience working with imperfect data across multiple systems.
  • Strong business judgment and ability to turn ambiguous questions into measurable analyses.
  • Experience with funnels, cohort analysis, retention, churn, segmentation, CAC, and lifetime value.
  • Experience building analytical data models in a modern data warehouse.
  • Ability to work independently in an early-stage environment with limited data infrastructure.
  • Experience in subscription, marketplace, education, coaching, or consumer services businesses preferred.
  • Familiarity with Python, dbt or comparable transformation tools, and modern BI platforms preferred.
  • Experience as an early or first data hire preferred.
  • Must be based in Latin America and able to work remotely.

Interested in this position?

Apply directly on the company website

Apply Now

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