Full-time Permanent Experienced Skilled
Posted 03 Jul ****
Description
About Us
The future of the world is increasingly digital and connected however many Australians suffer from frustratingly slow internet.
At Gigacomm, we believe in the power of connectivity to improve the world we live in.
We build and operate an independent network which uses the latest technology to provide reliable, ultra-fast internet to Australian homes and businesses.
We are committed to building a diverse and inclusive team who bring different perspectives, that help best represent the customer and communities we serve, and who contribute to building a rewarding culture.
About the Role
The Data Analyst owns Gigacomm's analytics layer end-to-end — the transformation, data quality, and the analytics products and dashboards the business runs on.
The data platform is young, greenfield, and already in production: a BigQuery warehouse fed by Python/Prefect ETLs from a dozen operational sources, with a Dataform transformation layer and Power BI on top, all version-controlled and CI-driven.
This is a hands‐on senior IC role.
You'll build on the data landed by the platform engineering team and turn it into trustworthy, well‐modelled analytics that the executive team, Finance, and the wider business depend on.
The defining challenge is data quality as a first‐class capability — detecting contradictions in source systems, tracing them to their origin, and driving the owning teams to fix them.
You'll report to the Platform Engineering Manager and work closely with the Analytics Product Owner, Finance, and source‐system owners across Service Delivery, Networks, and Sales.
We expect this role to use AI tools (such as Claude or similar) as a standard part of how the work gets done — not occasionally, but as the first place you reach— and to increasingly automate the parts of the role that can be automated.
The role also includes participation in the platform team's escalation rotation (on‐call coverage).
What You'll Do
Data Quality
Own the data‐quality findings funnel — validating candidate findings, assigning ownership and severity, and routing each to the responsible team
Trace data issues to their source system and drive remediation with the owning team (Service Delivery, Networks, Sales, Salesforce, JSM, ServiceNow)




Build and maintain the data‐quality exceptions framework — non‐blocking detection of source contradictions, cross‐source mismatches, and consistency violations
Surface quality trends via the Power BI DQ page and regression alerting to Slack
Own the Dataform transformation layer — staging, marts, and promoted data products in BigQuery
Model telecom domain entities dimensionally — services, sites, buildings, billing events, orders
Build and own the analytics products: penetration cohorts, churn, site profitability, and revenue timelines
Graduate marts into governed products.
* datasets with CI, freshness checks, and a registry
Analytics & BI Enablement
Own the BI consumption layer — Power BI datasets, dashboards, connectivity, and performance
Deliver self‐service reporting for business users on governed, well‐documented data
Partner with the Analytics Product Owner to productionise and extend analytical models and share the modelling load
Produce the numbers Finance and the executive team run the business on
Own CI/CD for the analytics layer — GitHub Actions, automated testing, and environment promotion
Use AI‐assisted engineering workflows as the default way of working (Claude Code is the team's production workflow)
Maintain a data catalog, runbooks, and design specs so the estate is legible to the next engineer
Monitor BigQuery slot and storage usage and keep query efficiency in check
What You'll Bring
4–8+ years in analytics engineering, BI, or data analytics with senior‐level ownership of a warehouse transformation and BI layer
Expert SQL and strong dimensional and analytical data modelling — facts, dimensions, SCD2, event timelines
Hands‐on experience with a modern transformation framework — Dataform or dbt — including testing, CI, and environment promotion
Power BI (or equivalent) — datasets, dashboards, performance tuning, and governed self‐service
Data‐quality engineering: assertions, anomaly and exception detection, and reconciliation across sources




Tenacious at tracing data issues to their source system and working cross‐functionally to get them fixed— this is core to the role, not incidental
Working Python for data tooling and checks
Production experience with a cloud data warehouse — BigQuery ideal; Snowflake, Databricks, Microsoft Fabric, or Azure Synapse backgrounds are very welcome
Git‐based development with CI/CD (GitHub Actions or comparable)
Comfortable adopting AI‐assisted engineering workflows as the default way of working
Strong stakeholder skills — works directly with executives, Finance, and domain experts; translates business questions into models
Low ego, high EQ — humble, curious, open to having your mind changed, energised by respectful, data‐driven debate
Preferred
Experience in telecommunication, ISP, or wholesale B2B environments — services, sites, provisioning, billing domains
Workflow orchestration familiarity — Prefect, Airflow, or Dagster (you consume orchestrated pipelines rather than own them)
GCP platform familiarity beyond BigQuery — IAM, Workload Identity Federation, Terraform‐managed infrastructure
Familiarity with operational source systems such as Salesforce, Jira/JSM, NetBox, billing platforms, or ServiceNow
FinOps awareness — warehouse cost monitoring and optimisation
Experience in high‐growth or scale‐up environments
Relevant, hands‐on experience matters more to us than formal certification.
Why Join Gigacomm
Be part of building something meaningful — connecting Australians with ultra‐fast, reliable internet.
Own a greenfield analytics layer end‐to‐end, on a modern BigQuery + Dataform + Power BI stack, from day one.
Work in a collaborative, inclusive team that values different perspectives.
Join a scaleup with the energy of a startup and the foundations of an established network operator.
A genuinely AI‐first environment where you're encouraged — and expected — to automate your way to higher‐value work.
Company Overview
We believe the future of the world is digital and connected and that everyone needs greater access to and more choice of digital infrastructure.
Our mission is to build better, more intelligent access networks to connect more people and businesses to more affordable ultra‐fast internet.
#J-*****-Ljbffr

📌 Senior Data Analyst (Brisbane)
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