Advanced Analytics Analyst - Product Strategy & Governance - Commonwealth Bank of Australia

• 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

Home Buying | Product Strategy & Governance Squad | Retail Banking Services

See Yourself in the Team

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.

Your Impact & Contribution

As an Advanced Analytics Analyst, you'll transform data into actionable insights that help improve business performance and customer outcomes. You'll apply statistical, analytical and machine learning techniques to solve complex business problems and support evidence-based decision making. In summary, you may expect to:

• 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.

Key Skills & Experience

Success in this role comes from combining strong analytical thinking, technical capability and stakeholder engagement skills to solve complex business problems through data. It requires strengths across many of the following areas:

• 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.