AI Analytics Engineer: BigQuery & Marketing Data

Monks; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Job summary

Monks is seeking an Analytics Engineer to transform raw GA4, media and CRM data into modeled, trusted datasets in BigQuery for major APAC brands. You will join the Sydney or Melbourne data team (hybrid, full-time) to build pipelines, apply ML-ready analytics, and support AI tool development on client data.

You will work on measurement strategy, tagging, data engineering, reporting and applied AI, translating measurement plans into robust tables and metrics while presenting insights to clients in

Qualifications

• Proficiency in SQL with complex queries and data modelling.
• Experience modeling data in BigQuery for marketing data.
• Hands-on GA4 knowledge including event data and exports.
• Python for data extraction, transformation and automation.
• Experience building and scheduling data pipelines on Google Cloud.
• Ability to explain data to non-technical clients clearly.

Responsibilities

• Build and maintain pipelines bringing GA4 exports, ad data and CRM data into BigQuery.
• Model raw event data into clean, documented tables using dbt or Dataform.
• Orchestrate jobs with Cloud Composer/Airflow and related services.
• Set up data quality tests and monitoring for dashboards.
• Analyze client data to answer business questions with SQL and visuals.
• Create semantic layer behind Looker Studio and Looker dashboards.
• Present findings to clients and internal stakeholders in plain language.
• Prepare and govern datasets for AI tools and agent-based workloads.

Skills

SQL

BigQuery

GA4

Python

Data pipelines

Data visualization

Communication

AI in analytics

Tools

dbt

Dataform

Cloud Composer

Looker Studio

Looker

Google Tag Manager

GCP

Git

Job description

Monks is seeking an Analytics Engineer to transform raw GA4, media and CRM data into modeled, trusted datasets in BigQuery for major APAC brands. You will join the Sydney or Melbourne data team (hybrid, full-time) to build pipelines, apply ML-ready analytics, and support AI tool development on client data.

You will work on measurement strategy, tagging, data engineering, reporting and applied AI, translating measurement plans into robust tables and metrics while presenting insights to clients in