Data Analyst

About the role

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

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
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
So, why join us?

At ANZ, everything we do boils down to ‘why’ - our purpose - to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career.

We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.

A happy workplace is a thriving one. So to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.

We work flexibly at ANZ and encourage you to talk to us about how this role can be flexible for you. Some of the work we do can be done from home, and some from an ANZ workplace - it’s all about what works for your team, and above all else, our customers

Job Posting End Date

November 18th, 11.59pm, (Melbourne Australia)