Educational requirements: Bachelor
English requirements: Competent English
Requirements for skilled employment experience for years: 3-5 years
Required residence status: Temporary visa, Permanent resident, Citizen
Accept remote work: unacceptable
About the role
Location: Melbourne (Hybrid working Mode)
Permanent Role, Multiple Levels and Positions Available
Data Analysts deeply understand the power of data to generate quality customer insight, manage information and identify trends to accelerate sound business decisions. Within the Responsible Banking Tribe, you will apply your strong data and technical skills to source and interrogate data to ultimately remediate our customers when we have got it wrong.
What will your day look like
Source and validate data from a variety of sources (Big Data platforms [Hadoop], Oracle, Teradata, enterprise data assets, core mainframe systems) to combine, synthesise and analyse to generate insights
Define and conduct tests to validate that data is fit for purpose and that remediation calculations are correct and accurate
Leverage your knowledge on business process, ANZ product and associated data to write complex queries/scripts in Python/Spark SQL language to identify the impacted accounts and calculate the refund owed to customers when we have got it wrong
Peer review other DA’s code and ensure solutions built to defined requirements
Analyse data and maintain data integrity as data passes through RB’s bespoke built applications
Perform data analysis in order to support individual missions of Squads
Generate, monitor, present and analyse relevant customer insights, costs, benefits, and risks for customers, clients and cohort products; this could include business casing, what if scenarios and opportunity sizing & assessments
Support key data platform and/or data scheduling jobs to support insights delivery to key audiences (e.g. frontline, other tribes)
Contribute to the prevention of re-remediation by documenting and communicating insights into what causes customer remediations
Mature the Data Chapter in Responsible Banking by educating and coaching peers on data analyst techniques and principles
What will you bring?
A healthy balance of ANZ Product (primarily Loans and/or Cards, but not limited to these) and business process knowledge combined with solid technical data-mining abilities
‘Power-user’ level capability to consume and analyse data in Hadoop/Big Data technologies, Oracle and Teradata
Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation (e.g. PL/SQL, Python, PySpark, Impala and other scripting tools)
Able to define, plan and execute testing and cleansing of data
Proven ability to work with large data sets (10’s of TB)
Ability to effectively communicate and present to all stakeholders (translate technical into non-technical and vice-versa)
Analytical and inquisitive mindset to continuously improve the level of insight surfaced
Strong ability to perform statistical and forensic analysis
Strong ability to translate data insights into practical business recommendations
Strong coaching & mentoring skills
Moderate 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 and we actively encourage people to try new things. So if this role interests you and you feel you have most of these things in your toolbox, we’d love to hear from you.
