Self-Service Adoption Data Analyst

Key Skills

Data Analytics, Data science techniques, Python Programming, R Programming, SQL

Job Description

The Data Analyst sits in the Global Squad within our Digital Sales Experience team. This role is critical to our self-service adoption (SSA) initiatives and aims to increase traffic to self-service pages by providing data-driven insights and recommendations. The successful candidate will work closely with cross-functional teams, including self-service, legal, marketing, and agency partners, to improve the customer experience, increase customer awareness, articulate the financial value of self-service, and support the achievement of ANZ Digital Self Service Scorecard Targets.

The Data Analyst is critical to making this happen and will:

• Analyse self-service data to identify trends, patterns, and insights that drive strategic decision-making
• Identify opportunities based on insights to increase traffic and improve the user experience on anz.com to drive self-service adoption
• Collaborate with cross-functional teams to improve the customer experience and increase customer awareness of our digital content
• Determine and communicate the financial and non-financial benefits of self-service to stakeholders
• Support the achievement of ANZ Digital Self Service Scorecard Targets by providing data-driven insights and recommendations
• Utilise data science capabilities to analyze customer behavior, inform strategy, and improve the self-service journey

Role Location: Melbourne

Role Type: Opportunity until September

What will you bring?

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

• Ability to identify, describe, quantify and prioritise opportunities, build business cases and influence stakeholders, and work with squad members to deliver outcomes
• Experience combining disparate data from multiple sources to create a complete understanding of a problem or opportunity
• Strong analytical skills and ability to analyze complex data sets
• Proficiency in data analysis tools such as Python, R, or SQL
• Commercial and financial acumen – understand and articulate business drivers and levers
• Strong understanding of digital marketing and customer journey optimization

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.

As a Purpose-led bank, we’ve committed to delivering commercial and societal outcomes across environmental sustainability, financial wellbeing and household affordability. We deliver these sustainability commitments with our customers, in our business and across the communities where we operate.

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.

You’ll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We 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 a disability, let us know how we can provide you with additional support.

To find out more about working at ANZ or to view other opportunities visit www.careers.anz.com. You may apply for this role by visiting ANZ Careers and searching for reference number 61462