Principal Data Analyst - ICT

About the role

The Queensland Government is looking for an experienced Principal Data Analyst in Brisbane CBD to lead spatial and non-spatial data analysis. The role turns complex datasets into evidence-based insights that support government policy, infrastructure planning and digital inclusion initiatives. It involves working with telecommunications, infrastructure, land and population data, and collaborating with government agencies, local councils and infrastructure providers.

Key responsibilities

• Lead spatial and non-spatial data analysis projects, from scoping and planning through to delivery and reporting.
• Analyse geographical, telecommunications, infrastructure and population datasets to support regional planning and digital connectivity.
• Develop and maintain GIS maps, spatial products, dashboards and business intelligence reports.
• Apply statistical analysis, data modelling and integration techniques to answer complex policy and program questions.
• Champion data governance, data quality, documentation and information management.
• Use GIS tools, SQL and Power BI to query, integrate and visualise data.
• Build relationships with stakeholders and provide technical guidance and knowledge sharing.

Required profile

• Demonstrated experience in spatial analytics, GIS and data analysis, including technical leadership and data governance.
• Strong expertise in Esri ArcGIS tools and spatial databases, with accurate maps and spatial visualisations.
• Experience delivering analytical projects from scoping through to stakeholder engagement and recommendations.
• Ability to explain complex technical information to technical and non-technical audiences.
• A degree in GIS, Spatial Science, Data Analytics or a related discipline is beneficial but not mandatory; relevant certifications are also helpful.

Required skills

• Esri ArcGIS tools and spatial databases
• SQL, data modelling and data integration
• Business intelligence tools such as Power BI
• Experience with land use, infrastructure planning or telecommunications projects is highly regarded; Python or R for geospatial analysis is advantageous

The role offers flexible working options, competitive remuneration and generous leave entitlements. Applications are made through the recruiter's application process, which may include assessments and interviews.