Senior Data Specialist - ANZ Banking Group Limited

About Us

At ANZ, we’re committed to shaping a world where people and communities thrive. Our mission is to enhance the financial wellbeing and sustainability of millions of customers across the globe.

About the Role

As a Senior Data Specialist in our Internal Audit (IA) team, you'll play a pivotal role in advancing our Data Analytics capability. This role supports ANZ Group’s risk insights and assurance coverage through technology, data, and automation.

This position may also include responsibilities related to Suncorp Bank, which is in the process of joining the ANZ Group. Completion of this acquisition is anticipated around mid-calendar year 2024, pending legislative amendments and approvals.

At ANZ, we’re evolving with the changing banking landscape. Join us in building a brighter future for both yourself and our customers.

Role Location: Bengaluru

Role Type: Permanent, Full Time

Key Responsibilities

As a Senior Data Specialist, you will:

• Contribute to and execute Internal Audit’s Data Analytics strategy
• Partner with audit teams to deliver assurance and consulting activities
• Establish continuous monitoring across key business risks and controls
• Develop innovative Group-wide and Divisional dashboards
• Conduct targeted business data interrogation
• Embed a data-analytics driven culture within Internal Audit

You will collaborate with ANZ Group's global team, leveraging your robust stakeholder management and influencing skills. Additionally, you will help build capability within the Internal Audit function.

Required Skills and Experience

• Technical expertise in data analytics, ideally within the banking industry and consulting
• Experience in internal audit, risk management, or a related field
• Proficiency in the analytics lifecycle: data analysis, modeling, wrangling, quality, hypothesis testing, visualization, and dashboard design
• Hands-on experience with tools such as Qlik, Python, KNIME, and SQL
• Exposure to React, Big Data, and Machine Learning Techniques (e.g., GCP ML) is a plus
• Strong problem-solving and quantitative analysis skills
• Excellent verbal, written, listening, and interpreting skills
• Proven relationship-building skills with stakeholders
• Consistent delivery on goals despite challenges or uncertainties
• Qualifications in Data/Business Analytics, Data Science, Computer Science, Mathematics/Statistics, Information Systems, or a related field

At ANZ, a growth mindset is essential. If you have most of these skills, we’d love to hear from you.

Why Join ANZ?

From the moment you join ANZ, you'll work on meaningful projects that positively impact communities. You’ll also benefit from the resources, opportunities, and support needed to advance your career.

ANZ offers flexible working arrangements to suit your lifestyle and a range of benefits including health and wellbeing services, and discounts on selected ANZ products and services.

At ANZ, we celebrate the diverse backgrounds, perspectives, and life experiences of our team members. We’re dedicated to creating a workplace that mirrors the diversity of our community. We welcome applications from everyone and encourage discussions about any adjustments needed during the recruitment process or in the role itself.

If you have a disability or access requirement, please let us know how we can support you.

To learn more about working at ANZ, visit . Apply by visiting ANZ Careers and searching for reference number 69437.