Gov Data Analyst: Cloud Analytics & Dashboards

Aurec; Canberra; On-site; AUD 90,000 - 130,000; Full time

Job summary

Aurec is engaged to support a Federal Government agency in Canberra, delivering high-impact data science and analytics initiatives. The role emphasizes cloud-based analytics, leveraging Microsoft Fabric and modern tooling to drive evidence-based decisions across national programs.

You will build analytical products, dashboards, and reporting solutions, analyse data with R or Python, and collaborate across multidisciplinary teams while ensuring data governance and robust documentation.

Qualifications

• Strong proficiency in R or Python for statistical analysis and ML workflows.
• Experience with building statistical models and data-driven solutions in complex environments.
• Excellent ability to translate complex results into clear narratives for diverse audiences.
• Familiarity with modern analytics platforms and cloud-based data ecosystems.

Responsibilities

• Develop, maintain, and refine analytical products, dashboards, and reporting solutions.
• Analyse datasets using R or Python to uncover insights and opportunities for stakeholders.
• Support high-priority analytical programs within secure government data environments.
• Collaborate with data engineers, geospatial specialists, and executives to deliver impact.
• Contribute to data governance, data quality, and comprehensive technical documentation.
• Mentor teammates and share best practices in analytics and statistical modelling.

Skills

R

Python

Data Science

Machine learning

Communication

Tools

Microsoft Fabric

Job description

Aurec is engaged to support a Federal Government agency in Canberra, delivering high-impact data science and analytics initiatives. The role emphasizes cloud-based analytics, leveraging Microsoft Fabric and modern tooling to drive evidence-based decisions across national programs.

You will build analytical products, dashboards, and reporting solutions, analyse data with R or Python, and collaborate across multidisciplinary teams while ensuring data governance and robust documentation.