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
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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
Data Modelling & Transformation
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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
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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
Engineering Practice
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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
Essential
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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
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Experience in telecommunications, 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
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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.
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.
