Hybrid Fp&A & Analytics Specialist

Ngare Employment Solutions Pty Ltd; Sydney; Hybrid; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and benefits

Professional development opportunities

Collaborative and inclusive culture

Relocation opportunity available

Job summary

Monks is seeking an Analytics Engineer to build the data foundations for client marketing decisions. Join our Sydney/M Melbourne hybrid Data team as a mid‑level, full‑time professional, contributing to measurement strategy, data engineering, reporting, and AI‑driven tooling.

You will work with GA4, BigQuery, Looker Studio, and the Google Marketing Platform, building pipelines and governance for reliable analytics and client reporting.

Qualifications

• Strong SQL skills and experience building data models in BigQuery.
• Hands‑on use of GA4 BigQuery export schemas and data pipelines.
• Experience with Python for data work and automation.
• Familiarity with Looker Studio dashboards and Looker data modeling.

Responsibilities

• Build and maintain data pipelines from GA4 and ad platform data into BigQuery.
• Model raw event data into clean tables using SQL and dbt/Dataform.
• Orchestrate jobs with Airflow/Cloud Composer.
• Develop data quality tests and monitoring for dashboards.
• Design semantic layer behind Looker Studio dashboards and ensure consistent metrics.

Skills

SQL

BigQuery

Python

Data modelling

dbt

Airflow

Looker Studio

Git

Tools

dbt

Airflow

Looker Studio

Google Cloud

Cloud Run

Job description

About Monks

Monks is a global, digital‑first marketing, technology, and creative consultancy operating at the intersection of creativity, media, data, and culture. In APAC, our 700‑strong team spans 14 offices across 11 countries, connected by a single, unified operating model.

As pioneers in the AI economy, we live an AI‑first culture internally while helping enterprise clients shift from manual workflows to AI‑native orchestration — scaling custom agent solutions (Monks.Flow), AI‑driven campaigns, and next‑gen AI search capabilities. By connecting brand strategy, media, data, and emerging technology around the consumer, we build intelligent platforms and content ecosystems for the world's leading brands. We foster a diverse, equitable, and inclusive workplace where authentic collaboration fuels industry‑changing work.

We are an equal‑opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects.

The Role

Monks is looking for an Analytics Engineer to build the data foundations our clients' marketing decisions run on. Join our Data team in Sydney or Melbourne (hybrid) as a full‑time, permanent, mid‑level hire. The team covers measurement strategy, tagging and implementation, data engineering, reporting and applied AI. Our stack is built on Google Cloud: GA4, Google Tag Manager, BigQuery, Looker Studio and the Google Marketing Platform. We are increasingly building agentic and Gemini‑based tools on top of client data.

What You'll 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.
• Orchestrate jobs with Cloud Composer (Airflow), Cloud Functions or Cloud Run.
• Set up data quality tests and monitoring so issues are caught before they reach a dashboard.
• GA4 and measurement: work with GA4 BigQuery export schemas, unnesting event parameters, sessionising events and rebuilding attribution where the UI falls short.
• Partner with our tagging specialists to check that GTM and GA4 implementations produce data the models can rely on.
• Translate measurement plans into the tables and metrics that answer them.
• Analysis and reporting: answer client questions directly with SQL, from funnel drop‑off to channel performance to customer lifetime value.
• Build the semantic layer behind Looker Studio and Looker dashboards so numbers match across reports.
• Present findings to client and internal stakeholders in plain language.
• AI: prepare and govern datasets for BigQuery Conversational Analytics, Gemini and agent‑based tools.
• Conceptualise and build PoC‑level AI tools on client data such as natural language querying, automated insight summaries and anomaly detection.

What You'll Bring

• Write strong SQL: window functions, CTEs and nested or repeated field queries without reaching for a reference.
• Hands‑on BigQuery experience including partitioning, clustering and cost control.
• Working knowledge of GA4: the event model, the BigQuery export schema and how it differs from the GA4 interface.
• 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.
• Comfortable explaining data to non‑technical people, including clients.
• Interested in applying AI to analytics work, backed by something you have tried or built.
• Experience with Google Tag Manager (client side or server side), Google Marketing Platform data (CM360, DV360, SA360), Vertex AI, Gemini APIs or LLM‑based agents is a big plus.
• Exposure to privacy and consent topics such as Consent Mode, first‑party data and the Australian Privacy Act is welcome, as are Google Cloud certifications (Professional Data Engineer or similar).

Location

Sydney or Melbourne (hybrid)

Contract

Full‑time, permanent

Benefits

• Competitive salary and benefits package
• Professional development and learning opportunities to grow your skills
• Collaborative and inclusive work culture
• Relocation opportunity available for the highly talented and experienced and suitable candidate

Eligibility & Compliance

• Right to work in Australia

Equal Opportunity

We are an equal‑opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects.