Data Analyst - Migration Data Readiness
Melbourne, AU
ANZ Banking Group Limited
ANZ offers a range of personal banking services such as internet banking, bank accounts, credit cards, home loans, personal loans, travel and international, investment and insurance. Learn about easy and secure ways to manage your money.About the role
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.
As a Bank Led Migration - Data Readiness – Data Analyst, you will report to the Migration Data Readiness Product Owner (which is in the Data Portfolio and delivers to the Customer Migration Portfolio) and work closely with data analysts in Data Portfolio Retail Analytics – Initiatives – Migration squads. Our mission is to help customers achieve their goals by migrating them to products that better support the ways they save, use and manage their money, pay and get paid. We use design excellence to reimagine processes and iterate capabilities that will support customer migration.
The Data Analyst is critical to making this happen and will:
- Implement a fact-based culture throughout the bank; Fact base will contain Customer, Operational, Commercial, Market, Regulatory inputs aligned to business objectives (Migration)
- Generate, monitor, present and analyse relevant customer insights, costs, benefits, and risks for customers, clients and cohorts; this could include business casing, what if scenarios and opportunity sizing & assessments, and development and maintenance of dashboards and visualisations
- Sourcing data from a variety of sources to combine, synthesise and analyse to generate insights
- Contribute to the development of well-governed, shared and reusable data assets
Role Location: Melbourne
Role Type: Permanent
What will you bring?
To grow and be successful in the role, you will ideally bring the following:
- Understanding of Data Quality requirements and treatment techniques
- Understanding of Data [Customer] Migration and how analytics can inform direction and address requirements
- Data Governance and Data Risk / non-financial Risk management
- Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation (e.g. SAS, SQL, Tableau, VBA, QlikSense)
- Strong ability to translate data insights into practical business recommendations
- Strong data visualisation skills
You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.
So, why join us?
There’s something special about being part of ANZ. From the moment you join us, you’re part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers.
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 and community you need to take the next big step in your career, towards even bigger things in the future.
We offer a range of benefits tailored to the countries in which we operate including Health and Wellbeing programs and flexible working arrangements.
You’ll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit www.careers.anz.com. You may apply for this role by visiting ANZ Careers and searching for reference number 63625
Job Posting End Date
19/04/2024, 11.59pm, (Melbourne Australia)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data governance Data quality SAS SQL Tableau
Perks/benefits: Career development Flex hours Health care
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