Not specified
CommBank Yello is CommBank’s customer recognition program, designed to help eligible customers access relevant benefits, offers and experiences through their everyday banking relationship. The CommBank Yello team brings together customer strategy, data, analytics, marketing, product, digital and technology to deliver relevant value to customers at scale.
Our focus is on understanding customer behaviour, improving engagement, increasing offer relevance, and ensuring CommBank Yello continues to deliver meaningful customer and business outcomes.
We value curiosity, technical excellence, commercial pragmatism and strong delivery. We move quickly, test and learn, and use data to make customer experiences simpler, smarter and more relevant.
As an Insights Analytics Manager, you’ll play a key role in helping CommBank Yello understand customer behaviour, improve engagement and make better data-led decisions.
You’ll work across the full analytics lifecycle: clarifying business problems, sourcing and wrangling complex data, building robust analytical datasets, identifying meaningful insights, and translating those insights into recommendations that drive action.
You’ll use advanced SQL, Python or PySpark, customer analytics and commercial judgement to identify opportunities, optimise customer engagement and help deliver measurable outcomes for CommBank Yello.
This role is suited to someone who is equally comfortable interrogating large datasets, shaping analytical approaches, explaining customer behaviour, and influencing senior stakeholders with clear, evidence-based recommendations.
You can expect to:
Develop insights that improve customer engagement, personalisation, activation, retention and offer relevance.
Partner with marketing, product, digital, technology, data engineering, risk and compliance teams to shape customer engagement strategies.
Evaluate what is working, what is not, and where CommBank Yello can improve the customer experience.
Develop test-and-learn approaches, campaign measurement frameworks, performance reporting and optimisation recommendations.
Present insights and recommendations to senior stakeholders in a clear, commercially grounded and action-oriented way.
Balance customer value, commercial outcomes, operational feasibility, privacy, risk and compliance considerations.
Maintain a strong focus on responsible data use, governance, data quality and risk management.
This role requires a strong blend of technical analytics, customer insight, commercial judgement and stakeholder influence. To be considered, candidates will demonstrate:
Strong customer analytics, marketing analytics, loyalty, lifecycle engagement or personalisation experience.
Deep technical capability and confidence working directly with large and complex datasets.
Strong problem-solving skills and the ability to structure analysis where the answer is not already known.
Commercial acumen and an understanding of how analytics can improve customer engagement and business performance.
Strong communication skills, with the ability to explain complex analysis simply and persuasively.
Confidence influencing stakeholders across different levels and business areas.
A proactive, curious and pragmatic approach to delivery.
A strong commitment to responsible data use, privacy, risk management and compliance.
You will be expected to be technically strong and hands-on. Your technical skills should include:
Advanced SQL, including complex query design, CTEs, window functions, large-scale data interrogation and performance-aware querying.
Python, PySpark or equivalent for data wrangling, exploratory analysis, automation and customer data preparation.
Experience building reusable, well-documented and reliable analytical datasets.
Strong understanding of data quality, data lineage, data governance and analytical controls.
Experience working with behavioural, transactional, digital, campaign and customer profile data.
Experience with customer segmentation, campaign measurement, test-and-learn design, attribution or uplift analysis.
Ability to identify data limitations, assess data quality issues and communicate implications clearly.
Experience with visualisation, reporting or storytelling tools such as Tableau, Power BI, Adobe Analytics or similar.
Exposure to customer decisioning, personalisation, marketing automation or Next Best Conversation platforms.
Experience with Adobe Experience Cloud products, including Adobe Target, Audience Manager, Journey Optimizer or Experience Manager, would be highly regarded.
Exposure to predictive modelling, propensity modelling, machine learning or AI-enabled analytics would be advantageous.
This is a highly hands-on and technically demanding analytics role.
It may not be the right fit if your experience is primarily limited to dashboard production, basic reporting, campaign coordination or stakeholder management without deep analytical delivery.
We are looking for someone who can personally interrogate complex data, build robust analytical outputs, identify meaningful customer insights and influence business action.
At CommBank, your work can have real impact at scale.
In CommBank Yello, you’ll help shape how customers experience value, recognition and relevance through one of CommBank’s key customer engagement programs.
You’ll be part of a collaborative, high-impact team that values curiosity, technical excellence, practical thinking and continuous improvement. You’ll work with rich customer data, influence high-profile customer engagement initiatives, and contribute to experiences that reach millions of Australians.
We support flexibility, learning and career development, and we’re committed to building inclusive teams where different perspectives are valued.
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.
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