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
Solid 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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