Data Analyst
vor 4 Wochen
Data Analyst - Retail AnalyticsDepartment: AR Branch Network
Division: Australia Retail
Location: Melbourne
About UsAt 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 RoleAs a Data Analyst in Retail Analytics, you'll play a key role in helping the ANZ deposits business run smoothly by providing high quality, fit for purpose and insightful data solutions and reports.
This role is responsible for collecting, cleansing, optimizing & interrogating data to generate business intelligence.
Basic/Intermediate descriptive data analysis and visualisation, without the use of reporting tools (eg Qlikview, PowerBI).
Role Type: 12 month opportunityRole Location: MelbourneWork Hours: Full Time What will your day look like?As a Data Analyst, you will:
Undertake qualitative, quantitative and desktop research to uncover actionable insights that can improve solutions and identify new opportunities.Have a clear understanding of the end-to-end analytics journey as well as define and deliver the data roadmap.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.Perform data analysis within different Tribes to support individual missions of Squads.Sourcing data from a variety of sources to combine, synthesise and analyse to generate insights.Support key data platform and/or data scheduling jobs to support insights delivery.Contribute to the requirements, design and development of dashboards, data assets, and continuous improvement of analytics methods, processes, and tools.What will you bring?To grow and be successful in this role, you will ideally bring the following:
Recent experience in a Data Analyst role.Hands-on experience on dealing with large data and exposure to Big-data Technologies.Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and data visualization (SQL, Python & QlikSense).Analytical and inquisitive mindset to continuously improve the level of insight surfaced.Strong ability to translate data insights into practical business recommendations.Ability to effectively communicate to all stakeholders (technical and non-technical).Experience of working in a banking or financial domain is preferred.You're not expected to have 100% of these skills.
At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we'd love to hear from you.
So why join us?From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.
But it's not just our customers who'll feel your impact.
you'll feel it too.
Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.
We're a diverse bunch at ANZ in different roles, different locations, doing different things.
That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'.
We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.
At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated.
That's because we're committed to building a workplace that reflects the diversity of the communities we serve.
We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself.
If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support.
To find out more about working at ANZ, visit careers.
You can apply for this role by visiting ANZ Careers and searching for reference number 78064.
Job Posting End Date #J-18808-Ljbffr
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