Data Management Operations Analyst

About Us

At ANZ, were 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 Role

As a Data Analyst in our Data Management Operations Team, you will play a key role in helping executing data management capabilities in the Division, spanning Data Quality, Reference and Master Data, Standards and Obligations.

The role will require you to combine your experience spanning data analysis across systems and business processes as well as your data management skills to achieve outcomes. Depending on your experience, you will contribute to or lead the delivery of insights, including deep‑dive analysis and executive‑ready insights for senior leaders and governance forums.

Your role will be critical in partnering with the business and supporting them with your knowledge of data management and your familiarity with the Enterprise Data Risk Framework, Standards and Policies. As a Data Management Operations Data Analyst, you will consult with stakeholders to understand the business problem and collaborate with other data practitioners to define and deliver appropriate data solutions.

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: Bengaluru
Work Hours: Regular Shifts(Hybrid\Blended)

What will your day look like?

• Work collaboratively with colleagues within our Division, Data & Analytics Team, as well with our business stakeholders and partners spanning Enterprise Data Risk, Technology, Digital and other divisions.
• Help ensure data is organised, managed and leveraged within Australia Retail to meet obligations, help the Business and achieve tangible business outcomes for Customers and Bankers.
• Support multiple business units in Australia Retail with the delivery of data outcomes – including understanding requirements, mapping, analysing, and supporting process and process evolution resulting in high-quality data.
• Manage - and at times lead - activities and issues to drive business value with data as a focus
• Operate a robust approach to Data Quality, Reference and Master Data, Policies, Standards and Obligations reviews, Records, Privacy and Ethics management
• Managing data quality issues and driving remediation strategies and execution
• Mapping and cataloguing data elements and data assets and addressing any data quality shortcomings identified in our divisions data
• Delivering against committed milestones
• Identify and address constraints that hinder progress, escalating as appropriate
• Ensure ANZs core values are always maintained in dealing with staff, colleagues and customers.

What will you bring?

To grow and be successful in this role, you will ideally bring the following:

• Must have 8+years relevant experience.
• A strong team player who builds trusted relationships, collaborates effectively, shares knowledge, and embraces continuous learning.
• Experience or exposure to data management or data governance concepts, particularly data quality.
• Experience identifying, analysing and resolving data quality issues.
• Solid understanding of key data concepts such as data cataloguing, metadata, data lineage, data assets, accountability for data, and the data lifecycle.
• Strong capability/experience in data analysis, analytics engineering and visualisation tools (Qlik Sense, data modelling with dbt, and SQL experience advantageous)
• Strong stakeholder management, communication and presentation skills, with the ability to engage effectively with both technical and non-technical stakeholders.

‘Good to have’ knowledge, skills and experiences:

• Frontline and operational knowledge or experience with processes and systems advantageous, but not necessary
• Experience in data analysis roles supporting product and customer change initiatives, with scope and accountability aligned to your level of experience 
• Developed understanding of compliance, operational risk, and data protection / privacy principles, particularly in the context of data quality.
• Experience working in an Agile or delivery-focused environment, with an ability to analyse information and support fact-based decision making.
• Experience working with data in Financial Services

So why join us?

ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the banks largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the banks strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. Were proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong. 

We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.

We want to continue building a diverse workplace and welcome applications from everyone. Please 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 requirements, let us know how we can provide you with additional support.

To find out more about working at ANZ visit https://www.anz.com/careers/. You can apply for this role by visiting ANZ Careers and searching for reference number 124312.

Job Posting End Date

29/09/2026, 11.59pm, (Melbourne Australia)