Location: Sydney (Hybrid / Onsite options)
Salary: Competitive (aligned with Sydney market)
About the Role
We are looking for an experienced Power BI Developer to join a dynamic analytics and reporting team in Sydney. The ideal candidate will have strong expertise in transforming complex datasets into insightful dashboards and reports, with hands-on experience across the Microsoft BI stack.
You will work closely with business stakeholders, data engineers, and product teams to design analytical solutions that support key decision-making across the organization.
Key Responsibilities
* Develop interactive, visually compelling Power BI dashboards and reports
* Build data models, DAX calculations, and optimized datasets
* Work with stakeholders to gather BI/reporting requirements and translate them into technical solutions
* Connect and integrate data from multiple sources including SQL Server, Azure services, APIs, Excel, and enterprise systems
* Ensure data accuracy, data validation, and performance optimization
* Manage Power BI Service including workspaces, gateways, security roles, and scheduled refreshes
* Support self‐service BI adoption across the business
* Work closely with data engineers to enhance data pipelines and ETL processes
* Maintain documentation, standards, and best practices for BI projects
Required Skills & Experience
* 3–6 years of experience as a Power BI Developer or similar BI role
* Strong proficiency with Power BI Desktop, Power BI Service, and DAX
* Experience building complex data models, relationships, and calculated measures
* Advanced SQL skills (T‐SQL preferred)
* Experience with Azure data stack (Azure SQL, Synapse, Data Lake, Data Factory) is highly desirable
* Strong understanding of data warehousing concepts (Star schema, ETL, fact/dimension tables)
* Ability to work with large datasets and optimise report performance
* Excellent communication skills with ability to work directly with business stakeholders
* Strong problem‐solving mindset and attention to detail
Nice-to-Have
* Experience with Python, R, or other analytics tools
* Familiarity with Power Apps or Power Automate
* Experience with SSIS, SSAS (Tabular), SSRS
* Knowledge of data governance and security practices
* Exposure to financial, retail, or enterprise reporting environments
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