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Location
In office (Sydney)
Employment
Full-Time
Overview
Company
Impact
Profile match
Commonwealth Bank of Australia is the country's largest bank, established by federal legislation in 1911 as a government-owned institution and fully privatised by 1996. It serves roughly one in three Australians across retail deposits, home lending, business banking and institutional markets, and holds the largest share of the domestic mortgage market. The bank has invested unusually heavily in technology for its size, rebuilding its core systems and pushing the CommBank application into a broader financial and lifestyle platform, and it runs the venture arm x15ventures to build and buy adjacent digital businesses.
  • Own the analytics partnership for a key Business Banking stakeholder group, helping shape priorities and translate business challenges into a clear delivery roadmap

  • Build advanced analytical solutions using Python, machine learning and emerging AI technologies.

  • Join a strong BI team evolving toward scalable analytics products, intelligent automation and AI-enabled decision-making.

Bring your curiosity, technical capability and passion for solving meaningful business problems to a team expanding what is possible through data, analytics and AI.

At CommBank, you will have the opportunity to grow, belong and make a meaningful impact through work that matters.

Do Work That Matters

Business Banking Finance provides management information, forecasting, analysis, business advice and insight to our business partners. We are also responsible for maintaining a strong financial control environment.

As an Advanced Analytics Manager, you will be the primary analytics partner for a defined group of Business Banking stakeholders. You will work with them to understand their strategy, identify high-value analytical opportunities and shape a prioritised roadmap of work.

This is a hands-on role. You will combine stakeholder leadership and product thinking with strong technical capability across Python, machine learning and analytics engineering. You will also remain comfortable working with the team’s established SQL and BI ecosystem, including Tableau and Alteryx.

You will help the team evolve from predominantly traditional reporting and BI toward more scalable advanced analytics, generative AI and intelligent agent solutions.

See Yourself in Our Team

You will join a collaborative team of analysts and problem solvers supporting some of Business Banking’s most important decisions.

The team has deep capability across reporting, data analysis and business intelligence. We are now expanding our advanced analytics and engineering capability to solve more complex problems, automate analytical processes and create new AI-enabled experiences.

You will have access to rich data, modern development tools and a supportive environment in which to test ideas, learn and build practical solutions.

In This Role, You Will

  • Act as the primary analytics partner for a defined stakeholder group, building a strong understanding of its strategy, priorities and business challenges.

  • Identify and shape analytical opportunities, translate ambiguous problems into clear requirements and define measurable outcomes.

  • Manage and prioritise an analytics roadmap, balancing stakeholder value, delivery effort, technical feasibility and strategic alignment.

  • Communicate recommendations, trade-offs and progress clearly to senior stakeholders and technical teams.

  • Develop advanced analytical solutions using Python, SQL and machine learning techniques.

  • Build and evaluate machine learning models, including data preparation, feature engineering, model selection, validation, interpretation and performance assessment.

  • Prototype and develop generative AI and intelligent agent solutions that address practical business problems.

  • Apply responsible AI, data governance, privacy, risk and control considerations throughout the development process.

  • Use software engineering practices such as version control, modular development, testing, documentation and peer review to create maintainable analytical products.

  • Work comfortably in development environments such as VS Code and collaborate with engineering, data and platform teams where solutions need to be productionised.

  • Use Tableau, Alteryx and other BI tools where appropriate, while identifying opportunities to automate, simplify and modernise existing solutions.

  • Support the broader team as it develops its capability across Python, machine learning, analytics engineering and AI.

We’re Interested in Hearing From People Who Have:

We know great candidates may not meet every requirement listed below. If you are excited about this opportunity and believe your experience could add value, we would love to hear from you.

Essential experience

  • Strong stakeholder-management skills, including experience partnering with senior stakeholders and translating business priorities into analytical work.

  • Experience acting as a product owner, analytics partner, consultant or trusted adviser for a business area or stakeholder portfolio.

  • Strong hands-on Python capability, with experience developing analytical solutions in a professional environment.

  • Demonstrated experience building, testing and evaluating machine learning models against real business problems.

  • Strong SQL skills and experience working with complex datasets.

  • Confidence working in development environments such as VS Code.

  • Experience with software development practices such as Git, reusable code, testing, documentation and code review.

  • The ability to explain complex analytical concepts and recommendations clearly to both technical and non-technical audiences.

  • A proactive and pragmatic approach to solving ambiguous problems and delivering measurable outcomes.

  • Strong attention to data quality, accuracy, governance and control.

Experience that would be highly regarded

  • Experience developing generative AI applications, large language model workflows or intelligent agents.

  • Familiarity with techniques such as retrieval-augmented generation, tool use, agent evaluation, guardrails and human oversight.

  • Experience productionising analytical or machine learning solutions in partnership with engineering or platform teams.

  • Experience with cloud platforms, machine learning operations or automated deployment practices.

  • Experience with Tableau, Alteryx, Power BI or similar BI platforms.

  • Teradata experience.

  • Software development, data engineering or analytics engineering experience.

  • Knowledge of banking, finance or financial products.

Working With Us

At CommBank, we are committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 08/09/2026
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