We’re looking for an experienced Data Analyst to join a major digital transformation program and help turn complex datasets into actionable insights that support operational and strategic decision-making.

This is a hands-on analytics role combining Power BI development, data modelling, reporting, stakeholder engagement and data quality. You’ll work closely with Business Analysts, Data Engineers, Architects and business stakeholders to translate reporting requirements into practical analytics solutions.
Project through to Feb 2028
Paying up to $124 per hour
Brisbane CBD location, 50% in office

What you’ll be doing:
Engage with stakeholders to understand reporting, analytical and operational requirements.
Analyse data from multiple sources to identify trends, risks, patterns and opportunities.
Develop dashboards, reports, visualisations, KPIs and performance measures.
Translate business requirements into data and reporting specifications.
Build and maintain Power BI reporting solutions.
Validate data quality, accuracy, completeness and consistency.




Work with Data Engineers and Architects to improve data governance and usability.
Support UAT, report validation and implementation.
Develop analytical models and decision-support reporting.
Present findings and actionable insights to stakeholders.
Identify prospects to improve reporting, analytics and business processes.

What we’re looking for:
Power BI
DAX
Power Query
SQL / Spark SQL
Microsoft Fabric
Semantic Models
Dataflows
Lakehouse concepts
Databricks
Row-Level Security (RLS)
Advanced Excel
Data modelling and transformation
Dashboard and visualisation design

You’ll also be comfortable engaging with business stakeholders, gathering requirements and communicating analytical findings to both technical and non-technical audiences.

Microsoft certifications across Power BI, Azure or Fabric would be advantageous but are not essential.

To apply in strict confidence, click the apply now button. Alternatively if you would like to discuss this role in more detail, please feel free to email * to arrange a call.

📌 Data Analyst X 3 Brisbane (Australia)
🏢 Aspirante
📍 Australia