Data Analyst

**Req ID**: 38951

**Department**: AR Strategic Delivery Australia Data

**Division**: Australia Retail

**Location**: Melbourne
About the role

Data Analyst - Retail Analytics

**Location**: Melbourne preferred, other locations may be considered
Full Time and Part Time opportunities available
Blended Working Mode

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

The Data Analyst role is responsible responsible for developing, nurturing and growing analytics capability across the tribe, building and fostering a strong data driven culture. Also ensuring knowledge sharing, learning, training, up-skilling, career development, and standards / governance / QA are embraced and adopted.

What will your day look like
Address and solve complex business issues using large amounts of data
Have a clear understanding of the end-to-end analytics journey as well as define and deliver the data roadmap
Implement a fact-based culture throughout the bank.
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
Source data from a variety of sources to combine, synthesise and analyse to generate insights
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
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
What will you bring?

To grow and be successful in the role, you will ideally bring the following:
Strong communication and presentation skills
Strong SQL Skills
Strong ability to translate data insights into practical business recommendations
Strong data visualisation skills
Good understanding of concepts in applied probability and statistics
Good quantitative programming skills in Python
Proficient with Jupyter Notebooks
Experience in creating data products and dashboards in Tableau and or QlikSense
Analytical and inquisitive mindset to continuously improve the level of insight surfaced
Ability to effectively communicate to all stakeholders (technical and non-technical)

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?

There’s something special about being part of ANZ. From the moment you join us, you’re part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers.

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 and community you need to take the next big step in your career, towards even bigger things in the future.

We offer a range of benefits tailored to the countries in which we operate including Health and Wellbeing programs and flexible working arrangements.

Job Posting End Date

16 May, 11.59pm, (Melbourne Australia)