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Data analytics engineer

EduBI Analytics
Posted: 31 January
Offer description

About EduBI Analytics

EduBI Analytics is a rapidly growing education analytics company helping schools improve learning outcomes through better use of data. We build modern analytics platforms that give educators clear, trusted insights into what's really happening across their schools. If you want meaningful social impact, strong technical ownership, and the freedom of 100% remote work, this role is for you.

Our work sits at the intersection of
education, data engineering, and analytics
, with a strong focus on quality, consistency, and long-term value for schools. All solutions are built in close partnership with our clients and hosted within their own Microsoft Azure environments.

The Role

We are looking for an
Analytics Engineer
to join our growing data team.

This role sits between data engineering and analytics. You will be responsible for transforming raw education data into
well-modelled, analytics-ready datasets
that power our managed Power BI dashboards and client reporting.

dbt
(data build tool) is a
core part of our analytics stack
, and this role will work extensively within dbt to define, test, and maintain our transformation and modelling layer.

This role is
fully remote
, open nationally across Australia.

Australian work rights are required for this position.

Key Responsibilities

Data Modelling & Transformation

* Design and maintain analytical data models (facts and dimensions) for education datasets
* Transform raw and intermediate data into clean, well-documented, analytics-ready tables
* Implement and maintain business logic for key education concepts (e.g. attendance, enrolment, assessment, cohorts)

Analytics Engineering (dbt)

* Build and maintain transformation models using
dbt
across staging, intermediate, and mart layers
* Implement and maintain dbt tests and documentation to ensure data quality and reliability
* Contribute to consistent modelling patterns, naming conventions, and reusable dbt structures

Collaboration & Delivery

* Partner with analysts and stakeholders to translate reporting requirements into robust models
* Contribute to reusable modelling patterns across clients and projects
* Work closely with data engineers on ingestion and source system changes

Continuous Improvement

* Improve modelling standards, documentation, and metric definitions
* Help evolve EduBI's managed analytics platform as new data sources and requirements are introduced

What We're Looking For

Essential Skills & Experience

* Strong SQL skills (this is a SQL-heavy role)
* Hands-on experience using dbt in a production analytics environment
* Experience building analytical data models (star schemas, facts/dimensions)
* Experience transforming data for BI and reporting use cases
* Familiarity with Power BI semantic models or similar BI layers
* Ability to translate real-world business rules into clean, defensible data logic

Desirable (but not mandatory)

* Experience with Microsoft Fabric, Azure SQL, or modern cloud data platforms
* Experience working with education data (schools, universities, training providers)
* Exposure to data quality testing, metric governance, or shared analytics frameworks

Who This Role Is Ideal For

This role is well suited to someone who may previously have held titles such as:

* Analytics Engineer
* Senior Data Analyst (with strong dbt and modelling skills)
* BI Engineer

If you enjoy
owning data models and metrics
, working in dbt, and building analytics foundations that scale across clients, this role is likely a strong fit.

What We Offer

* Competitive Salary
* 100% remote work (Australia-wide)
* Full-time, permanent role
* Opportunity to work deeply in education analytics with real-world impact
* Experienced, high-performance team with strong domain knowledge
* High trust, low bureaucracy environment
* The chance to shape core modelling patterns used across multiple schools

How to Apply

To apply, please submit your resume along with a brief note outlining your experience with analytics engineering, data modelling, and dbt, to

Applications close 27th February 2026

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