Advanced Analytics Manager

cba; Sydney; On-site; AUD 150,000 - 190,000; Full time

Job summary

CommBank is seeking an Advanced Analytics Manager to partner with a defined Business Banking stakeholder group. You will translate business challenges into a clear delivery roadmap and lead analytics initiatives.

You will drive scalable analytics, AI‑enabled decision making, and automation, leveraging Python, ML, SQL, Tableau and Alteryx within a collaborative BI team.

Qualifications

• Strong stakeholder‑management with senior partners.
• Act as product owner/analytics partner for a business area.
• Strong Python capability in a professional environment.
• Experience building/testing ML models for real problems.
• Strong SQL skills with complex datasets.
• Comfort in VS Code development environments.
• Experience with Git, reusable code, testing, and code review.
• Ability to explain complex analytics clearly to tech and non‑tech audiences.

Responsibilities

• Act as the primary analytics partner for a defined stakeholder group, understanding strategy and priorities.
• Identify and shape analytical opportunities; translate problems into requirements and measurable outcomes.
• Manage and prioritise an analytics roadmap balancing value, effort and feasibility.
• Communicate recommendations and progress to senior stakeholders and technical teams.
• Develop advanced analytical solutions using Python, SQL and ML techniques.
• Build and evaluate ML models: data prep, feature engineering, selection, validation, interpretation.
• Prototype generative AI and intelligent agent solutions for business problems.
• Apply responsible AI, data governance, privacy, risk and controls.

Skills

Stakeholder management

Product owner

Python

Machine learning

SQL

VS Code

Git

Code review

Explain complex analytics

Tools

VS Code

Tableau

Alteryx

Git

Job description

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