Ko Mātou – About Us
Kia Hanga I Te Ao, E Ora Ai, E Tupu Ai, Te Tangata Me Te Kainga. At ANZ, we’re shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

Mō te tūranga - About the role
As a Data Engineer (Analytics) in the Marketing Enablement team, you will be part of a dynamic and collaborative group with diverse skills in data wrangling, data science, business analysis and data engineering. Our mission is to deliver actionable customer insights efficiently and sustainably, adding value to both our customers and our business.

Being part of the Marketing Center of Excellence (COE) allows us to work closely with business users to iteratively deliver insights and enhance analytical assets, driving value. We collaborate closely with colleagues across the data, products, and customer experience teams to ensure we have access to subject matter expertise when it matters most.

We are at an exciting juncture in our journey as an Analytics team. There is a strong appetite to better understand our customers, and we are continuing our investments in data and technology to support our personalisation efforts. You will have the opportunity to help shape the future of this journey for ANZ.

Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.

Role Type: Permanent
Role Location: Auckland or Wellington

Ka aha tō rā e kite ai? - What will your day look like
As a Data Engineer (Analytics), you'll be responsible for:

Designing and implementing data models to help us develop customer insights and advance analytical assets.
Efficiently developing data assets using languages and tools like Python, SQL, R, and dbt.
Analysing large datasets with tools like SQL and Python to uncover valuable customer insights.
Creating clear and insightful visualisations using tools like Excel, Tableau, and PowerPoint.
Following and improving existing processes to ensure our data solutions are efficient and accurate.
Utilising modern technologies and methodologies to advance our analytics practice.
Building collaboration and expertise to establish our analytics team as trusted leaders.

Ōu Pūkenga? - What will you bring?
To grow and succeed in this role, you'll ideally bring:

Experience in data modelling.
The ability to query, transform, join, and extract data using SQL and Python.
The ability to deliver clear and actionable customer insights.
Strong problem-solving skills.

Bonus points if you have:

Previous experience in analytics, especially in a business environment like financial services.
Familiarity with SAS, dbt, and Teradata.
Strong communication skills.
Data visualization skills.

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.

He aha te take e uru ai koe ki a mātou? - So, why join us?

From the moment you join ANZ, you'll be part of a work whānau striving towards a common purpose: shaping a world where 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 community you need to take the next big step in your career.

We're a diverse community 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 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 Aotearoa New Zealand's communities and this is one of the reasons that has inspired us to develop a multi-year Te Ao Māori Strategy called Tākiri-Ā-Rangi. This includes increasing representation of Māori and Pasifika people at ANZ. Join us and get involved in one of our affinity networks which help us to better understand and meet the needs and interests of our increasingly diverse workforce.

Kua wātea te katoa ki te tono. 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 an access requirement or disability, let us know how we can provide you with additional support.

To find out more about working at ANZ visit https://www.anz.co.nz/careers/.You can apply for this role by visiting ANZ Careers and searching for reference number 88571.

Te Rā Ōtinga - Job Posting End Date
21/03/2025 , 11.59pm, (Melbourne Australia)

Data Engineer (Analytics)

ANZ Aotearoa

Data Engineer (Analytics)

ANZ Aotearoa

Auckland

ANZ Aotearoa

Data Engineer (Analytics)

Location

Job Description

Hard Skills Required

Soft Skills Required

Benefits and Perks

Job Schedule

Company Video

Data Engineer (Analytics)

ANZ Aotearoa

Data Engineer (Analytics)

ANZ Aotearoa

Auckland

ANZ Aotearoa

Data Engineer (Analytics)

Location

Job Description

Hard Skills Required

Soft Skills Required

Benefits and Perks

Job Schedule

Company Video

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