ANZ

Senior Data Analyst

Job description

About Us

At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About The Role

The mission of the Risk Transformation Project is to provide cutting edge risk management services, across group, wholesale and retail risk areas to deliver a better banker and customer experience leveraging data and business rule focused solutions.

As an Analyst you will optimise end-to-end customer journeys and improve the customer experience by devising innovative solutions, services, products or propositions.

You will work to solve complex problems using a range of techniques and will be a core conduit between the engineers and the business. The role requires strong engagement and collaboration with internal stakeholders and external partners.

To be successful in this role you will bring your strong communication skills, technical expertise and analytical/problem solving abilities to drive tangible solutions allowing the Tech Area to fulfil its mission statement. You will also have a strong background in software delivery and systems implementation.

What will your day look like?

  • You have exceptional stakeholder management and relationship building skills, with the ability to influence outcomes at all levels of the business.
  • You are able to analyse data and business/system processes to identify gaps.
  • Draw out insights and present outcomes for data driven decision making.
  • 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.
  • Strong data visualisation skills with ability to present data dynamically to solve key business questions.
  • You have an intense passion and curiosity for customers, their needs and wants, putting them at the centre of everything you do.
  • You are able to explore customer needs in a data-driven way, develop and implement innovative solutions, test the outcomes, and iterate.
  • You are able to bridge the gap/translate business requirements into well-defined features/user stories/acceptance criteria to be consumed by engineers to build and deliver awesome outcomes for our customers.
  • You can proactively identify and assess risks, devise appropriate mitigants & controls and comply with risk management processes and policies.
  • You have a strong execution mindset and ability to deliver quality outputs within required timeframes.
  • You are able to support other analysts in your squad and influence the outcomes where required.


What will you bring?

  • Significant experience / expertise with banking & financial services, especially in data heavy roles
  • Understanding of how risk plays a role in wholesale and retail lending and processes
  • Understanding of how credit risk management activities are used within the banking environment, including an overarching understanding of the impacts that legislation and regulations have on operations
  • Working knowledge of analytical programming languages such as SQL
  • Proven data wrangling skills to quickly understand and validate different data sources to build effective, sustainable analytical assets
  • Desirable to have knowledge and experience with Cloud Technologies (e.g. GCP, AWS) and big data technologies like datalake

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