ANZ Banking Group Hiring for Data Analyst at Bangalore Full Time

Data Analyst – AusData

Role Location – Manyata Tech Park, Bangalore

Role Type – FTE, 4.4

At ANZ our purpose is to shape a world where people and communities thrive and to achieve this, we need a talented Data Analyst to join our Australia Data tribe. The Australia Data tribe sits within our Australia Retail & Commercial division and our mission is to combine business & technology capabilities to enable analytics, reporting & data asset development by users across ANZ’s Australia Retail & Commercial division.

As a Data Analyst, you deeply understand the power of data to generate quality customer insight, manage information, identify trends and make decisions.

This Data Analyst is responsible for nurturing, developing and growing analytics capability across the tribe, building and fostering a strong data driven culture and ensuring knowledge sharing, learning / training / up-skilling, career development, and standards / governance / QA are embraced and adopted.

What will your day look like

Address and solve complex business issues using large amounts of data

Have a clear understanding of the end-to-end analytics journey as well as define and deliver the AusData data roadmap

Implement a fact-based culture throughout the bank.

Continuous generation, monitoring, presenting and conducting of ‘fact-based’ analysis of relevant customer insights to use at any time for the development and improvement of relevant and innovative propositions

Generate, monitor, present and analyse relevant customer insights, costs, benefits, and risks for customers, clients and cohort products; this could include business casing, what if scenarios and opportunity sizing & assessments

Develop tools and methods to fully profile customers and customer segments

Source data from a variety of sources to combine, synthesise and analyse to generate insights

Support key data platform and/or data scheduling jobs to support insights delivery to key audiences (e.g. frontline, other tribes)

Lead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performance

What will you bring?

5 plus years of experience in Data Analytics.

Strong communication and presentation skills

Good understanding of concepts in applied probability and statistics

Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation (e.g. SAS, SQL, Tableau, VBA, QlikView BI)

Analytical and inquisitive mindset to continuously improve the level of insight surfaced

Strong ability to translate data insights into practical business recommendations

Strong data visualisation skills

Ability to effectively communicate to all stakeholders (technical and non-technical)

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. And that’s big.

But it’s not just our customers who will 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 to provide all our people:

Health and wellbeing programs

Discounts on selected products and services (from ANZ and beyond)

Flexible working arrangements, lifestyle leave and career breaks

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.

Job Posting End Date

15/10/2022, 11.59pm, (Melbourne Australia)