Data Analyst

Key Responsibilities

• Collect, consolidate, clean, validate and maintain property, customer, market and operational data from multiple internal and external sources.
• Analyse Australian property market trends, suburb performance, demographic statistics, economic indicators, infrastructure activity, rental demand and investment risks.
• Build, maintain and improve Power BI dashboards, data models, management reports and data visualisations.
• Develop and monitor KPIs relating to property market performance, suburb growth, rental conditions, customer behaviour, sales activity and business operations.
• Identify trends, patterns, relationships and anomalies within property, customer and business datasets.
• Undertake comparative, trend, variance, scenario and forecasting analysis to support management decision-making.
• Evaluate property investment opportunities using structured quantitative and qualitative analysis.
• Prepare property market reports, suburb assessments, investment comparisons, executive summaries and actionable business recommendations.
• Work with internal and external stakeholders to gather data requirements, validate source information and develop reporting solutions.
• Engage with prospective investors to gather structured information required for customer segmentation and investment analysis.
• Collaborate with builders, developers, landowners and property industry stakeholders to obtain and verify property and project data.
• Support pre-contract and due diligence processes by reconciling property information, identifying inconsistencies and assessing data-related risks.
• Maintain data-quality controls, reporting definitions, source registers, analytical assumptions and supporting documentation.

Key Requirements

• Bachelor degree or higher qualification in Data Analytics, Business Analytics, Data Science, Statistics, Economics, Econometrics, Finance, Property Economics, Information Systems or a related quantitative discipline.
• Demonstrated experience in data analysis, business intelligence, property research, market intelligence or a related analytical role.
• Demonstrated experience developing and maintaining Power BI dashboards, reports and visualisations.
• Advanced Microsoft Excel skills, including data analysis, Power Query, PivotTables, formulas and data reconciliation.
• Experience collecting, cleaning, validating, modelling and interpreting data from multiple sources.
• Experience developing and monitoring business or market KPIs.
• Strong analytical skills with the ability to identify trends, patterns, anomalies, risks and commercial implications.
• Strong written and verbal communication skills, including the ability to present complex analytical findings to non-technical stakeholders.
• High attention to detail and strong data-quality assurance capabilities.
• Knowledge of Australian property market, demographic, economic or investment data will be highly regarded.
• SQL, DAX, Python, R or geographic data analysis experience will be advantageous where relevant to the employer’s systems.

Pay: $80,000.00 per year

Work Location: In person