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About the Role

Provide advanced analytics to support data-led decision-making across the Group, with a focus on the Construction division's operational and strategic priorities. Translate business priorities into curated data sets using quantitative analysis, statistical techniques, and trend analysis, while supporting the evolution of a mature, scalable analytics capability. Work closely with stakeholders across the Construction business to deliver insights that drive project performance, operational efficiency, and informed decision-making.

Responsibilities

• Partner with the Digital Data Product Manager and business stakeholders to shape problem statements, translate requirements into technical specifications, and deliver data-driven solutions.
• Transform data into high-quality datasets that enable effective decision-making and support delivery of business priorities.
• Apply quantitative analysis, statistical techniques, and trend analysis to uncover patterns, identify drivers, and generate output that supports business decisions.
• Assist in identifying opportunities to apply predictive and advanced analytics, including scenario modelling and basic data exploration using SQL, and contribute to the development and testing of these use cases while building capability in this area.
• Support the development of insights and analysis that explain trends, drivers, and performance, moving beyond basic BI reporting, visualization and defect management.
• Assist in identifying opportunities to apply predictive or advanced analytics, and support the team in testing and developing these use cases.
• Monitor and highlight data quality issues or gaps in reporting, and work with the Data & Analytics team to improve data reliability.
• Stay up to date with Data & Analytics tools (including Power BI) and apply new features to improve reports and insights.
• Support the business by helping users understand and use dashboards and insights confidently.
• Work closely with SMEs and technical teams to resolve issues, refine requirements, and ensure outputs meet business needs.

Requirements

• At least 4 years of experience as a Data Analyst for a large and structured organisation.
• Construction industry experience is essential.
• Strong experience with PowerBI is essential.
• Intermediate understanding of data structures and data warehousing concepts.
• Foundational understanding of analytics concepts, including exposure to forecasting or predictive modelling, with a willingness to develop in this area.
• Good communication skills, with the ability to explain insights clearly and work effectively with both business and technical stakeholders.

Skills

• PowerBI
• SQL
• Quantitative analysis
• Statistical techniques
• Trend analysis
• Predictive modelling
• Data structures
• Data warehousing concepts
• Data quality monitoring
• BI reporting
• Visualization

Location

• Australia

Work Type

• Full-time

Experience Level

• 4+ years

Education Level

• Degree in Computer Science or quantitative discipline (e.g. Engineering, IT, Finance, Statistics or similar)

About the Company

• Mirvac is an ASX-listed property group leading in sustainability, innovation, safety, and placemaking.
• Mirvac has evolved from a small joint venture over 50 years ago.
• Mirvac's vision is to re-imagine the environments where Australians would live, work and grow.
• Mirvac values its people, their passion and expertise, and the exceptional experiences they create.