AI & Analytics Engineer - Freelance
Role Overview
Build data foundations for client marketing decisions by transforming GA4, media and CRM data into trusted, modelled BigQuery datasets.
Join the Data team in Sydney or Melbourne in a hybrid, full-time permanent, mid-level role.
Work across measurement strategy, tagging and implementation, data engineering, reporting and applied AI for enterprise clients.
The role combines short project builds with ownership and ongoing improvement of longer-running data products.
Key Skills for This Role
Full Job Posting
Role overview
Build data foundations for client marketing decisions by transforming GA4, media and CRM data into trusted, modelled BigQuery datasets.
Join the Data team in Sydney or Melbourne in a hybrid, full-time permanent, mid-level role.
Work across measurement strategy, tagging and implementation, data engineering, reporting and applied AI for enterprise clients.
The role combines short project builds with ownership and ongoing improvement of longer-running data products.
What you’ll do
- Build and maintain BigQuery pipelines for GA4 exports, advertising-platform data and client CRM data.
- Model raw event data into documented tables using SQL and dbt or Dataform.
- Orchestrate jobs with Cloud Composer (Airflow), Cloud Functions or Cloud Run.
- Set up data-quality tests and monitoring.
- Work with GA4 export schemas, event parameters, sessionization and attribution.
- Collaborate with tagging specialists to validate GTM and GA4 implementations.
- Translate measurement plans into useful tables and metrics.
- Answer client questions using SQL, including funnel, channel and customer lifetime value analysis.
- Build semantic layers for Looker Studio and Looker dashboards.
- Present findings in plain language to clients and internal stakeholders.
- Prepare and govern datasets for BigQuery Conversational Analytics, Gemini and agent-based tools.
- Build proof-of-concept AI tools such as natural-language querying, automated insights and anomaly detection.
What you’ll bring
- Strong SQL, including window functions, CTEs and nested or repeated field queries.
- Hands-on BigQuery experience with partitioning, clustering and cost control.
- Working knowledge of GA4 event models and BigQuery export schemas.
- Experience building and scheduling Google Cloud pipelines using Composer, Dataform, dbt, Cloud Run or similar.
- Python experience for API extraction, transformation and light automation.
- Git version control and a habit of documenting work.
- Ability to explain data to non-technical people, including clients.
- Interest in applying AI to analytics work; the source description ends before completing this qualification.
Technology and data
- Google Cloud stack includes GA4, Google Tag Manager, BigQuery, Looker Studio and Google Marketing Platform.
- Advertising data sources named include Google Ads, DV360, Meta and CM360.
- AI-related tools and areas include BigQuery Conversational Analytics, Gemini and agent-based tools.
Work arrangement
- The Data team is based in Sydney or Melbourne and works hybrid.
About Monks
Monks describes itself as a digital-first marketing, technology and creative consultancy working across creativity, media, data and culture.
The company describes an AI-first approach and builds AI-enabled solutions, campaigns and data products for enterprise clients.
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