Advanced Analytics Manager - Home Buying

See Yourself in the Team

At CommBank, we're reimagining how Australians find, buy and finance their homes. The Channel Engagement & Specialty Products Crew are instrumental in shaping the experiences that support customers embarking on their home ownership journey, turning complex decisions into simpler, more personalised experiences.

 

Working alongside talented product, technology and analytics professionals, they use data and insights to influence strategic decisions, solve real customer problems and deliver experiences that make buying a home easier, faster and more rewarding.

 

 

Your Impact & Contribution

As an Advanced Analytics Manager, you'll play a pivotal role in shaping how Home Buying engages, supports and grows its customer base through data-driven decision making. Working at the intersection of analytics, customer strategy and personalisation, you'll uncover opportunities to improve acquisition, engagement and retention outcomes while influencing some of the bank's most important customer journeys.

 

You'll leverage advanced analytics, experimentation and customer insights to design and optimise targeting strategies, develop personalised customer experiences and identify opportunities to improve business performance. Your work will directly influence how we engage customers across digital and communication channels, ensuring interactions are relevant, timely and meaningful.

 

As a trusted analytics leader, you'll champion evidence-based thinking, communicate insights to a broad range of audiences and drive strategic initiatives from concept through to delivery. Beyond delivering analytics solutions, you'll foster a culture of continuous improvement by identifying opportunities to automate processes, streamline ways of working and embed scalable, data-led decision-making practices.

 

Key responsibilities include:

• Developing and optimising customer targeting, engagement and retention strategies using advanced analytics and behavioural insights.
• Delivering actionable recommendations that improve customer outcomes, commercial performance and operational effectiveness.
• Partnering with cross-functional teams to design, implement and measure data-driven initiatives and personalised customer experiences.
• Leading performance analysis and translating complex data into compelling insights for business and technology stakeholders.
• Identifying opportunities to automate, simplify and enhance analytics processes, controls and communications.
• Championing innovation through the application of advanced analytics, experimentation and emerging AI capabilities.
• Contributing to a high-performing analytics culture through collaboration, knowledge sharing and leadership across the broader community.

 

 

Your Skills & Experience

You're a commercially minded analytics leader who enjoys solving complex problems, influencing strategic decisions and translating data into meaningful customer and business outcomes. You'll combine strong technical capability with exceptional stakeholder engagement skills, bringing both analytical rigour and curiosity to every challenge. To be successful in this role, you'll bring:

 

• Advanced SQL expertise, with the ability to source, transform and analyse large and complex datasets.
• Strong Python skills for data analysis, modelling, automation and production-ready analytics solutions.
• Proven experience developing dashboards, reporting frameworks and performance insights that influence strategic decision-making.
• Hands-on experience building, validating and deploying predictive models using machine learning techniques and modern analytics tooling.
• Demonstrated ability to apply statistical and analytical methods to solve business problems and identify growth opportunities.
• Experience designing and optimising customer targeting, personalisation, engagement or retention strategies using data-driven approaches.
• Strong commercial acumen with the ability to connect analytical findings to customer, operational and financial outcomes.
• Experience running experiments, testing hypotheses and measuring outcomes to support evidence-based decision-making.
• The ability to communicate complex analytical concepts and insights to both technical and non-technical audiences.
• Experience partnering with cross-functional stakeholders across product, technology, marketing, risk and business teams to drive outcomes.
• A track record of influencing decisions and building credibility with senior leaders through data and storytelling.
• Experience identifying opportunities to automate processes, improve efficiency and simplify ways of working.
• Familiarity with cloud-based data and analytics environments and modern data engineering practices.
• Exposure to AI, advanced analytics and emerging technologies, with a passion for applying innovative approaches to real-world problems.
• A continuous improvement mindset, coupled with curiosity, adaptability and a passion for learning.

 

Ideally, you'll also bring experience in one or more of the following:

• Customer analytics, digital analytics, personalisation or marketing analytics.
• Next Best Action (NBA), Next Best Conversation (NBC), decisioning or customer engagement platforms.
• Financial services, banking, lending, credit cards, customer lifecycle management or digital product environments.
• Leading, coaching or mentoring analytics professionals to deliver high-quality outcomes in fast-paced environments.

 

Working With Us

We remain committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments during the recruitment process, please let us know.

We welcome applications from people of all backgrounds and are particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples.

 

Advertising End Date: 24/11/2026