Advanced Analytics Analyst - Product Strategy & Governance

Posted 12 Days Ago
Be an Early Applicant
Area, Viveiro, Lugo, Galicia, ESP
In-Office
Mid level
Fintech • Financial Services
The Role
Transform complex home-buying data into actionable insights: gather and cleanse data, explore patterns, build and monitor predictive models, create dashboards/reports, and partner with stakeholders to drive product strategy, governance, and process improvements using advanced analytics and ML.
Summary Generated by Built In
  • 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.
  • 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.
  • Relevant qualification in Data Science, Statistics, Mathematics, Computer Science, Engineering or related disciplines preferrable.

Why CommBank

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.

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: 08/08/2026

Skills Required

  • Apply advanced analytics, statistical techniques and data exploration methods to solve business problems
  • Proficiency with SQL for data preparation and analysis
  • Experience with Python, R or similar for analysis and modelling
  • Developing predictive models and applying machine learning techniques
  • Gathering, cleansing and transforming data from multiple sources
  • Creating dashboards, visualisations and reports using Tableau, Power BI or similar
  • Communicating analytical findings to technical and non-technical stakeholders
  • Relevant qualification in Data Science, Statistics, Mathematics, Computer Science, Engineering or related discipline
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Sydney, New South Wales
52,000 Employees
Year Founded: 1911

What We Do

Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services. We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.

Similar Jobs

Braze Logo Braze

Customer Success Manager

Marketing Tech • Mobile • Software
Easy Apply
Remote or Hybrid
Spain
2000 Employees

SailPoint Logo SailPoint

Manager, Professional Services - French Speaker

Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Remote or Hybrid
2 Locations
2461 Employees

Deepgram Logo Deepgram

Account Executive

Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
In-Office or Remote
28 Locations
150 Employees

Datadog Logo Datadog

Senior Software Engineer

Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Easy Apply
Remote or Hybrid
6 Locations
6500 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account