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 Senior Data Business Analyst in our Data Delivery team, you’ll play a key role in delivering high‑impact data solutions that enable meaningful business outcomes in a banking environment. This role provides technical and analytical leadership across requirements, solution design, and delivery quality.
You’ll partner with Delivery Leads, Engineers, and business and technology stakeholders to define clear, outcome‑focused data solutions. Responsibilities include leading data discovery, translating business needs into prioritised backlogs, owning data requirements and mappings, creating high‑quality analysis artefacts, and enabling effective delivery through facilitation and proactive stakeholder management. You’ll also contribute to the growth of the BA chapter through mentoring and continuous improvement.

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: 12 month Fixed Term
Role Location: Wellington, NZ
Work Hours: 37.5 hrs

Ka aha tō rā e kite ai? - What will your day look like?

This role is accountable for:

• Providing senior technical business analysis leadership for complex data initiatives across one or more delivery squads, maintaining clear oversight of scope, impacts, dependencies, risks, assumptions, and key business and technology decisions.
• Translating business outcomes into delivery‑ready data requirements and specifications, including source‑to‑target mappings, transformation logic, business rules, lineage assumptions, and reconciliation and validation criteria.
• Owning backlog and requirements management within Jira (epics, features, and stories), ensuring traceability to outcomes, effective prioritisation, and well‑controlled change management.
• Applying strong Scrum and agile practices by leading backlog refinement, defining and applying Definition of Ready (and supporting Definition of Done), and actively enabling delivery ceremonies such as planning, reviews, retrospectives, and stand‑ups as required.
• Facilitating effective stakeholder engagement and producing fit‑for‑purpose analysis artefacts and communications—such as story and delivery maps, data flows, models, and glossaries—to build shared understanding and support timely, informed decision‑making.
• Embedding quality, governance, and responsible innovation by supporting testing and validation to ensure delivered data meets agreed outcomes and acceptance criteria; ensuring compliance with ANZ Group, Data Governance standards, and external regulatory obligations; and promoting the responsible use of GenAI, including contributing to improvement and automation opportunities through safe use‑case exploration.

Ōu Pūkenga? - What will you bring?

To thrive and excel in this role, you should ideally possess the following:

• Senior Business Analyst experience in technology delivery (typically 5+ years), with strong Scrum/agile delivery knowledge and experience operating across technology / digital / data initiatives.
• Strong data delivery capability: proficient SQL; practical understanding of data warehousing concepts; ability to interrogate data to validate requirements and outcomes.
• Ability to define delivery-ready data requirements: translate business outcomes into epics/stories and detailed specifications including source-to-target mappings, transformation logic, business rules, and validation/reconciliation criteria.
• Strong Jira requirements/backlog management: structure epics/features/stories, maintain traceability and prioritisation, manage dependencies and change, and ensure work meets Definition of Ready for sprint planning (supporting Definition of Done where applicable).
• Advanced facilitation and stakeholder management: lead workshops and story mapping, align diverse viewpoints, drive decisions, and communicate clearly to technical and non-technical audiences using fit-for-purpose artefacts (e.g., maps, data flows, models, glossaries).
• Working knowledge of data governance, risk, and privacy controls, and demonstrated awareness of responsible GenAI use (information handling, bias/confidentiality considerations) with the ability to apply authorised GenAI tools appropriately to improve BA outcomes.

‘Good to have’ knowledge, skills and experiences:

• Experience delivering data outcomes in banking/financial services or other highly regulated environments, with awareness of compliance, audit, and operational risk expectations.
• Hands-on experience with enterprise data platforms and tooling (e.g., Teradata or equivalent) to support analysis, validation, and issue investigation.
• Familiarity with Python (or similar) for light-weight data validation, automation of checks, or rapid prototyping.
• Deeper knowledge of data modelling and integration patterns (conceptual/logical/physical; batch/streaming/API) to support solution design discussions.

Qualifications:

• Degree qualifications in Data Science, Computer Science, Information Technology, Information Statistics, Applied Mathematics, Business Administration, or any other related field is favourable.
• Equivalent practical experience in data warehousing, analytics delivery, or technology business analysis will also be considered.

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 114842.

Job Posting End Date

12/05/2026 , 11.59pm, (Melbourne Australia)