Analytics Engineer - Monks

Location: Sydney or Melbourne (hybrid)

Contract: Permanent, full time

About Monks

Monks is a global, digital‑first marketing, technology and creative consultancy operating at the intersection of creativity, media, data and culture.

Key Responsibilities

- 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.
- Orchestrate jobs with Cloud Composer (Airflow), Cloud Functions or Cloud Run.
- Set up data quality tests and monitoring.
- Work with GA4 BigQuery export schemas, unnesting event parameters, sessionising events and rebuilding attribution.
- Partner with tagging specialists to check GTM and GA4 implementations produce reliable data.
- Translate measurement plans into tables and metrics that answer them.
- Answer client questions directly with SQL.
- Build semantic layer behind Looker Studio dashboards.
- Present findings to client and internal stakeholders.




- Prepare and govern datasets for BigQuery Conversational Analytics, Gemini and agent‑based tools.
- Conceptualise and build PoC‑level AI tools on client data.
- Use AI coding assistants in workflow.

What you’ll bring

- Strong SQL skills, including window functions, CTEs, nested or repeated field queries.
- Hands‑on BigQuery experience including partitioning, clustering and cost control.
- Knowledge of GA4: event model, BigQuery export schema.
- Experience building and scheduling pipelines on Google Cloud (Composer, Dataform, dbt).
- Python for data work (API extraction, transformation scripts). Git version control.
- Comfortable explaining data to non‑technical people.
- Interest in applying AI to analytics.
- Experience with GTM, CM360, DV360, SA360, Vertex AI, Gemini APIs or LLM‑based agents is a big plus.
- Exposure to privacy and consent topics, Google Cloud certifications is welcome.

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