Remote Data & Analytics Lead for Growth & Insights

tapouts; Philippines; Remote; PHP 5,625,000 - 8,125,000; Full time

Job summary

tapouts is seeking a Data & Analytics Lead to build the analytical foundation guiding growth, product, and coaching operations. You will answer questions about CAC, churn, and coaching quality, combining business analytics with analytics engineering, and writing SQL to build data models.

You’ll establish metrics, create a unified view of the customer journey, and develop retention analyses while collaborating with cross-functional teams in an early-stage environment.

Qualifications

• Strong experience in product analytics, business analytics, analytics engineering, or a similar hands-on data role.
• Advanced SQL skills and experience with data from multiple systems.
• Ability to translate ambiguous questions into measurable analyses.

Responsibilities

• Establish clear, shared 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 that identify when and why customers leave.
• Create a framework for evaluating coach quality, incorporating outcomes, engagement, and satisfaction.
• Build and maintain clean, documented analytical data models and decision-oriented dashboards.
• Identify gaps in tracking and data quality, partnering with engineering and business teams to resolve them.
• Partner with growth, product, operations, and coaching leadership to turn business questions into measurable analyses.

Skills

Advanced SQL

Product analytics

Analytics engineering

Cohort analysis

Data modeling

Dashboards

Tools

dbt

Python

BI platforms

Job description

tapouts is seeking a Data & Analytics Lead to build the analytical foundation guiding growth, product, and coaching operations. You will answer questions about CAC, churn, and coaching quality, combining business analytics with analytics engineering, and writing SQL to build data models.

You’ll establish metrics, create a unified view of the customer journey, and develop retention analyses while collaborating with cross-functional teams in an early-stage environment.