Analytics Engineer

Clubtech Global; Denpasar; Hybrid; IDR 360,000,000 - 480,000,000; Full time

Benefits offered by this job

Company laptop

Annual leave & holidays

BPJS coverage

50% F&B discount at Finns Beach Club

Job summary

ClubTech Global builds the booking engine and multi-tenant hospitality ecosystem trusted by clubs and venues worldwide. We seek an Analytics Engineer to develop data models, dashboards, and reporting systems behind our platform.

You will own client analytics onboarding, recurring reporting, and marketing tracking, with responsibility for scalable dimensional modeling as we grow. The role combines data engineering and analytics, turning raw data into clean, tested datasets, and ensuring data

Qualifications

• Proven SQL proficiency on large datasets.
• Experience building dashboards in Looker, Superset, Power BI or Tableau.
• Version control and CI/CD for analytics code.
• dbt or equivalent data transformation framework.
• Hands-on marketing analytics tracking (PostHog, GA4, GTM, Meta CAPI).
• ELT/ETL pipelines experience (Airflow, Dagster).
• Strong data warehousing and dimensional modeling knowledge.
• Ability to explain technical concepts to non-technical audiences.
• Professional English, written and spoken.

Responsibilities

• Client Dashboard Development — design and maintain tenant-facing dashboards across unified data sources.
• Client Analytics Onboarding & Instrumentation — implement analytics tracking across client properties.
• Reporting Pipelines — own recurring client reporting and revenue automations.
• Marketing Tracking & Attribution — maintain tracking across ads and ROAS reporting.
• Data Validation — continuously validate data accuracy across pipelines and reports.

Skills

SQL proficiency

Dashboard development

Git & CI/CD

dbt

Marketing analytics tracking

ETL/ELT pipelines

Data warehousing

Communication

English proficiency

Tools

Looker

Superset

Power BI

Tableau

Git

dbt

Airflow

Dagster

PostHog

GA4

GTM

Meta CAPI

BigQuery

Job description

ClubTech Global builds the booking engine and multi-tenant hospitality ecosystem trusted by clubs and venues around the world. Data is at the heart of how we operate – it drives our reporting, our marketing, and the decisions our team and clients make every day. We're looking for an Analytics Engineer to build the data models, dashboards, and reporting systems behind all of it.

About the Role

The Analytics Engineer owns the data infrastructure behind our client analytics, reporting, and marketing tracking. You'll sit at the intersection of data engineering and analytics – turning raw, messy data into clean, tested, well-documented datasets that our team and clients can trust.

This is a hands-on, high-ownership role. You'll take full responsibility for client analytics onboarding, recurring reporting, marketing tracking, data validation, and billing operations. As we grow, you'll shape the dimensional model that supports multi-tenant reporting at scale.

What You'll Do

• Client Dashboard Development — Design, build, and maintain tenant-facing and internal dashboards across unified data sources, with clear, consistent metric definitions.
• Client Analytics Onboarding & Instrumentation — Implement and maintain analytics tracking across client properties, including data layers and purchase/event tracking.
• Reporting Pipelines — Own our recurring client reporting and revenue automations end-to-end, ensuring accurate, on-time delivery.
• Marketing Tracking & Attribution — Maintain tracking and attribution across Google, Meta, and TikTok Ads, including conversion tracking, pixels, and ROAS reporting.
• Data Validation — Continuously validate data accuracy across pipelines, dashboards, and reports, catching issues before they reach stakeholders.

What You'll Bring

• Strong SQL skills (CTEs, joins, aggregations, optimisation) on large datasets.
• A track record of building dashboards and recurring reports in Looker, Superset, Power BI, Tableau, or similar.
• Comfort with Git and CI/CD practices for analytics code.
• Experience with dbt or a similar data transformation framework.
• Some hands-on experience implementing marketing analytics tracking with PostHog, GA4, GTM, and Meta Conversion API (CAPI).
• Experience building and maintaining ELT/ETL pipelines (Airflow, Dagster, or similar).
• A solid understanding of data warehousing, dimensional modelling, and pipeline design.
• Comfortable communicating technical concepts to non-technical audiences.
• Professional-level English, spoken and written.

Nice to Have

• Experience in agency, multi-client, or multi-tenant SaaS environments.
• Experience modeling marketing and ad platform data, such as Google Ads, Meta, or TikTok.
• Experience with billing or ops data processing.Familiarity with MLOps or ML feature pipelines.
• Experience with GCP (BigQuery, Cloud Composer, or similar).

What we offer

• Full-time role (Monday - Friday, 9:00 AM - 6:00 PM).
• Hybrid setup (4 days WFO / 1 day WFH)
• Company laptop provided (or option to use your own).
• Comprehensive leave benefits: 12 days Annual Leave and 16 days Public Holidays.
• BPJS coverage provided.
• Exclusive Perk: 50% F&B discount at Finns Beach Club