Senior Data Analyst

About Us

At ANZ our purpose is to shape a world where people and communities thrive. We’re making this happen by improving the financial wellbeing and sustainability of our customers so they can achieve incredible things– whether they’re buying a home, building a business or saving for things big or small.

About the Role

As a Senior Data Analyst in Data portfolio supporting Home loans tribe, you’ll play a key role in helping to automate and uplift reporting in the preassessment phase of home loans application journey. This role is responsible for collecting, cleansing, optimizing & interrogating data to generate business intelligence and insights to support strategic decision making. Basic/Intermediate descriptive data analysis and visualisation, with the use of reporting tools (eg Qlikview, PowerBI).

Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.

Role Type: Permanant
Role Location: Melbourne
Work Hours: 40hrs per week

What will your day look like?

The Senior Data Analyst will be responsible for supporting the delivery of people analytics and reporting that provides strategic insights to guide the future talent and culture strategy. You will apply your strong data analysis, organisational and delivery skills to develop sustainable data solutions and strategies that are commercial, well managed and governed and support business goals. Your consultative and collaborative style will be essential as you partner across the Business to meet needs for data analytics and reporting. You will bring a focus on simplicity and employee experience to everything that you do.

As a Senior Data Analyst, your key accountabilities will include:

Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies, build data flows, and develop data models.
Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC.

What will you bring?

To grow and be successful in the role, you will ideally bring the following:

Bachelor’s or master’s degree in computer/data science technical or related experience.
Experience in banking or financial services preferred but not required.
Ability to translate data insights into practical business recommendations.
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-centre contexts required.
Knowledge of metadata management, data modelling, and related tools (Erwin or ER Studio or others) required.

Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation (e.g. SQL, Python, Tableau, QlikSense, Power BI).

So why join us?

From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.

But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.

We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.

At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you're a candidate with a disability or access requirement, and have an enquiry about the support provided, please let us know on your application or visit ANZ Accessibility and Inclusion Programs for alternate contact methods.

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 95249 .