Data Analyst - Forensic Capability Squad Data Analyst - Forensic Capability Squad …

ANZ
in Melbourne, Victoria, Australia
Permanent, Full time
Be the first to apply
Competitive
ANZ
in Melbourne, Victoria, Australia
Permanent, Full time
Be the first to apply
Competitive
Data Analyst - Forensic Capability Squad
Data Analyst - Forensic Capability Squad

Our purpose in the Home Loans Tribe is to make great home loan experiences possible by reliably providing easy to use products and services. We’re passionate about simplicity and meeting the needs of our customers today, while innovating to delight them tomorrow.

We have multiple Data Analyst roles available in the Forensic Capability Squad. The mission of the Forensic Capability Squad is to enhance and embed the way Home Loans use data to proactively ensure our products are operating in alignment with our customers’ expectations. This includes the technical development, automation and ongoing execution model for the Home Loans Forensic suite in partnership with Product Excellence and Prevention & Detection squads.

Our Data Analysts deeply understand the power of data to generate quality customer insight, manage information, identify trends and make decisions.

What might a 'day in the life' look like
  • Source data from a variety of sources to combine, synthesise and analyse to generate insights
  • Address and solve complex business issues using large amounts of data
  • Quickly understand the behaviour (expected/unexpected) of large data sets
  • Draw out insights and present outcomes for data driven decision making
  • Translate business rules and product collateral into functional data requirements and product forensic tests
  • Clearly communicate and present ideas and outcomes to technical and non-technological stakeholders
  • Implement a fact-based culture throughout the bank; Fact base will contain Customer, Operational, Commercial, Market place, Regulatory inputs aligned to business objectives
  • Actively participate in daily standups, Sprint Planning, Showcases and Retrospective ceremonies
Things that I am
  • A product and data all-rounder - I am experienced in the development and delivery of analytical reporting solutions, with a proven ability to translate data insights into business recommendations
  • A problem solver - I am energised by tackling complex problems. I use my critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers and the bank
  • A strong communicator , with experience in explaining complex issues to senior stakeholders
  • A team player - I know we only win if we all win. I recognise and value the different perspectives and skills each squad member brings. It is not about being a hero but jumping in and contributing to the successful delivery of our mission
  • The customer’s biggest fan - You demonstrate a thirst for better understanding the customer and define the problem and develop solutions through their eyes
  • Comfortable being uncomfortable - I am comfortable with uncertainty and have the ability to effectively manage myself through ambiguity by making meaning, building relationships and creating clarity with my peers
  • Continuous improvement junkie - I constructively challenge the status quo, look for better ways of doing things and passionately advocate continuous improvement
  • A collaboration champion - I work closely with my colleagues to ensure alignment and champion the sharing of learning across teams
  • Risk savvy - I build sustainable solutions that protect stakeholders and customers, and proactively address risks by making improvements in the bank’s overall risk and control environment
What will be in your toolkit?
  • Hands-on knowledge and experience with tools and techniques for analysis and data manipulation (e.g. SQL, Teradata)
  • Data visualisation skills (e.g. QlikSense, Tableau, BI)
  • Experience developing and building dashboards
  • Analytical and inquisitive mindset to continuously improve the level of insight surfaced
  • Strong business acumen to translate data insights into practical and actionable recommendations
  • Hands-on knowledge and experience in the use of Jira, Confluence
  • Strong problem solving, communication and presentation skills
  • Home Lending knowledge and experience is advantageous but not mandatory
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