Data Analyst (ANZ)



First a bit about ANZ

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.

ANZ has started to move to a new way of working, leveraging agile practices. To understand more about this new way of working and if this role is right for you, we strongly encourage you to take a look at The ANZ Way vimeo channel where you’ll find ‘The ANZ Way’ animation and the ‘New Ways of Working’ animation.

At ANZ we aim to create an inclusive environment where employee differences such as gender, age, culture, disability, sexual orientation, family and caring responsibilities and religion are valued.

Role Title

Data Analyst-Customer Insights-Simplification

Role Overview

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

We have a Data Analyst role available in the Simplification Centre of Excellence, where the mission is to radically simplify our products, processes and systems to provide experiences that delight while reducing cost and complexity.

What might a day in the life look like?

  • Implement a fact-based culture throughout the bank; Fact base will contain Customer, Operational, Commercial, Market place, Regulatory inputs aligned to business objectives

  • Continuous generation, monitoring, presenting and conducting of ‘fact-based’ analysis of relevant customer insights to use at any time for the development and improvement of relevant and innovative propositions

  • Continuous measurement and analysis of various customer journeys

  • Perform data analysis within different Tribes 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

  • Develop tools and methods to fully profile customers and customer segments

  • Source data from a variety of sources to combine, synthesise and analyse to generate insights

  • Development of campaigns using the Unica suite of tools (Campaign, Market Operations, Optimize).

  • Support key data platform and/or data scheduling jobs to support insights delivery to key audiences (e.g. frontline, other tribes)

  • Lead, Optimise, Design and execute business interventions (customers and operational) to uplift customer engagement and business performance

  • Mature the Data Chapter in the Simplification COE by educating and coaching peers on data analyst techniques and principles

What will be in your toolkit?

  • Ability to effectively communicate and present to all stakeholders (technical and non-technical)

  • Hands-on knowledge and experience with tools and techniques for analysis, data manipulation, extraction and presentation (e.g. SAS, SQL, and other scripting tools)

  • Analytical and inquisitive mindset to continuously improve the level of insight surfaced

  • Strong ability to translate data insights into practical business recommendations

  • Strong data visualisation skills

  • Strong coaching & mentoring skills

  • Strong attention to detail

Things that I am (or Strive to be!)

  • A team player

  • The customer’s biggest fan

  • A collaboration champion

  • Comfortable being uncomfortable

  • Continuous improvement junkie

  • Committed to my own and other’s growth

  • A problem solver

  • Passionate about data

  • Commercially and Tech curious

  • Risk savvy

Our people in the Data Analysis Chapter:

  • Are future focused and actively understand industry trends, ensuring capability development is aligned

  • Modify & make decisions based on market knowledge/awareness and influences strategic direction accordingly

  • Have strong awareness of banking and finance industry trends and threats (technology, products, regulatory environment, competitors, innovations)

  • Have a deep understanding of Banking and the products, markets, industries, channels and customer segments dimensions including scenarios modelling and optimisation opportunities

  • Build advanced data models to solve complex problems and generate sophisticated insights, influence decision making to drive key decision making

  • Develop strong ability to translate data insights into practical business recommendations, including the ability to tell stories and present data in digestible, logical and compelling ways

  • Possess strong communication and presentation skills to translate analysis into insights and present findings

  • Foster a culture that encourages the use of creative and innovative problem solving techniques. Creates a safe environment for people to try something new. Encourages outward focus toward different ways of doing things

  • Additional Information

  • Visit our ANZ Life page for more information on how we work at ANZ

We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.