Remote Data & Analytics Lead — Growth & Retention

tapouts; Colombia; Presencial; COP 341.636.000 - 496.925.000; Jornada completa

Descripción de la vacante

tapouts is seeking a Data & Analytics Lead to build the analytical foundation guiding our growth, product, and coaching operations.

This hands-on role combines business analytics with analytics engineering; you’ll write SQL, model data, and create dashboards to answer key questions about customer acquisition, churn, and coaching quality. The ideal candidate thrives in ambiguity and collaborates with growth, product, and leadership.

Formación

• Hands-on analytics role spanning product analytics, analytics engineering, and business analytics.
• Advanced SQL skills and experience with imperfect data from multiple systems.
• Ability translate ambiguous questions into measurable analyses.

Responsabilidades

• Establish clear definitions for core metrics: acquisition, activation, retention, churn, CAC, and lifetime value.
• Build a unified view of the customer journey across marketing, payments, product activity, coaching sessions, and cancellations.
• Develop retention and churn analyses to identify when and why customers leave.
• Create a framework for evaluating coach quality with outcomes, engagement, and satisfaction.
• Build and maintain clean, documented analytical data models and decision-oriented dashboards.
• Identify gaps in tracking and data quality; partner with engineering to resolve them.
• Turn business questions into measurable analyses with cross-functional stakeholders.

Conocimientos

Product analytics

SQL

Analytics engineering

Business judgment

Funnel analysis

Cohort analysis

Retention & churn

CAC & LTV

Data modeling

BI dashboards

Independent work

Herramientas

dbt

Python

Modern BI platforms

Descripción del empleo

tapouts is seeking a Data & Analytics Lead to build the analytical foundation guiding our growth, product, and coaching operations.

This hands-on role combines business analytics with analytics engineering; you’ll write SQL, model data, and create dashboards to answer key questions about customer acquisition, churn, and coaching quality. The ideal candidate thrives in ambiguity and collaborates with growth, product, and leadership.