Analytics Engineer

Clubtech Global

Denpasar

Hybrid

IDR 240,000,000 - 360,000,000

Full time

4 days ago

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Benefits offered by this job

Full-time role (Mon-Fri)

Hybrid setup (4 days WFO / 1 day WFH)

Company laptop provided

12 days Annual Leave

16 days Public Holidays

BPJS coverage provided

50% F&B discount at Finns Beach Club

Job summary

ClubTech Global is seeking an Analytics Engineer to build data models, dashboards, and reporting systems behind our hospitality analytics platform. You’ll own client analytics onboarding, recurring reporting, and marketing tracking, turning raw data into clean, well-documented datasets that our team and clients can trust.

This hands‑on role requires SQL, dbt, ELT/ETL pipelines, and experience with BI tools.

Qualifications

Strong SQL skills with complex queries and data modelling.
Experience building dashboards in Looker, Superset, or Tableau.
Proficient in Git and CI/CD for analytics code.
Experience with dbt or similar data transformation framework.
Hands-on experience with marketing analytics tracking (PostHog, GA4, GTM, Meta CAPI).
Experience with ELT/ETL pipelines (Airflow or Dagster).
Proficient in Python/JavaScript.

Responsibilities

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.

Job description

About ClubTech Global

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).
Working proficiency in Python/Javascript/React/NextJS/Laravel/PHP.
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