Role Overview
Monks is looking for an Analytics Engineer to build the data foundations our clients’ marketing decisions run on. You will turn raw GA4, media and CRM data into modelled, trusted datasets in BigQuery for some of the region’s biggest brands. You will also help us put AI to work on that data.
What You Will Do
Pipelines and modelling: build and maintain pipelines that bring GA4 exports, ad platform data (Google Ads, DV360, Meta, CM360) and client CRM data into BigQuery. Model raw event data into clean, documented tables using SQL and dbt or Dataform.
Why It Might Be a Fit
This role offers a huge opportunity for growth within our AUNZ team and APAC data team with clear channels of progression into leadership. You will work on enterprise brands across automotive, retail, financial services and higher education.
Requirements
- Write strong SQL: window functions, CTEs and nested or repeated field queries without reaching for a reference.
- Have hands-on BigQuery experience including partitioning, clustering and cost control.
- Have working knowledge of GA4: the event model, the BigQuery export schema and how it differs from the GA4 interface.
- Have built and scheduled pipelines on Google Cloud (Composer, Dataform, dbt, Cloud Run or similar).
- Use Python for data work: API extraction, transformation scripts and light automation.
- Use version control with Git and have a habit of documenting what you build.
- Be comfortable explaining data to non-technical people, including clients.
- Be interested in applying AI to analytics work, backed by something you have tried or built.
Benefits
- Dental insurance
- Vision insurance
- Paid holidays
- Wellness
- Parental leave
- Equity
- Learning budget
- Remote flexibility
To apply for this job please visit monks.com.
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