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About the Role
Help shape Australia’s home buying experience through data. Turn complex data into decisions that matter. Grow your analytics career and deliver outstanding customer impact.
Responsibilities
- Gather, cleanse and prepare data from multiple sources to support analytical initiatives.
- Explore large and complex datasets to identify trends, patterns, correlations and opportunities.
- Apply statistical analysis and machine learning techniques to generate insights and support business decision making.
- Develop and maintain predictive models that help forecast outcomes and inform strategic decisions.
- Monitor model performance and contribute to model refinement and optimisation activities where required.
- Create dashboards, visualisations and reports that communicate insights in a meaningful and accessible way.
- Partner with stakeholders across business, risk, customer and product teams to understand their analytical needs and translate business questions into data-driven solutions.
- Present analytical findings and recommendations to both technical and non-technical audiences.
- Identify opportunities to improve processes through automation, advanced analytics and emerging AI capabilities.
- Stay current with developments in data analytics, machine learning and AI technologies.
Requirements
- Applying advanced analytics, statistical techniques and data exploration methods to solve business problems.
- Working with SQL, Python, R or similar technologies to prepare, analyse and model data.
- Developing predictive models and applying machine learning techniques to generate actionable insights.
- Gathering, cleansing and transforming data from multiple sources to support analytical initiatives.
- Applying machine learning techniques and/or developing predictive models to support business decision making.
- Creating dashboards, visualisations and reports using tools such as Tableau, Power BI or similar platforms.
- Communicating clearly, professionally and effectively across both written and verbal mediums.
- Translating complex analytical findings into clear recommendations that support business decision-making.
- Building relationships with stakeholders and communicating analytical concepts to both technical and non-technical audiences.
- Collaborating across teams to understand business challenges and identify data-driven solutions.
- Demonstrating curiosity and a commitment to continuous learning as analytics, AI and machine learning technologies evolve.
Skills
- Advanced analytics
- Statistical techniques
- Data exploration
- SQL
- Python
- R
- Machine learning
- Predictive modeling
- Data cleansing
- Data transformation
- Tableau
- Power BI
- Communication
- Stakeholder engagement
- Collaboration
- Curiosity
- Continuous learning
- AI technologies
Location
- Australia
Work Type
- Full-time
Education Level
- Relevant qualification in Data Science, Statistics, Mathematics, Computer Science, Engineering or related disciplines preferrable.
About the Company
- The Product Strategy & Governance Squad provides strategic direction, governance oversight and design assurance across the Home Buying value stream.
- The team partners with business, risk, technology and product stakeholders to ensure Home Buying products deliver strong customer, commercial and risk outcomes.
- Advanced Analytics plays a key role in supporting strategic decisions through data- driven insights, performance analysis and process improvement.
- Join a team helping deliver Australia's easiest, fastest and most trusted Home Buying experience.
- You'll work on meaningful business problems, influence strategic decisions, apply modern analytics and AI capabilities, and grow your career in a collaborative, customer-focused environment.
Equal Opportunity
- We’re keen to support you with the next step in your career.
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