Data Analyst

Location: India

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Requisition Title -
Data Analyst

Job Number: - IND028049


About the Role : Data Analyst - Senior Officer Group 5.1

Location: RMZ Ecoworld, Bangalore

Role Type : Permanent, Full-time

Shift Schedule : Regular Shift & Flexible support

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 role 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.

Who are you?

  • A team player

  • The customer’s biggest fan

  • Comfortable being uncomfortable

  • Continuous improvement junkie

  • Committed to your own and other’s growth

  • A problem solver

  • Risk savvy

A day in the life of a Data Analyst

  • 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 Tribe 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 you will bring to Tribe:

  • 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)

Core skills and expertise required:

  • Customer Focus - Monitors customer satisfaction and draws on understanding of customer to deliver customer centric solutions

  • Continuous Improvement & Change – Understands, accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects

  • Problem Solving - Comprehensive understanding of a range of problem solving techniques

  • Market / Industry Knowledge - Builds on domain knowledge base

  • Influence & Relationship Building - Uses an understanding of others’ point of view and empathy to gain buy-in to develop existing relationships and help build new ones

  • Data Visualisation and story telling - Key understanding of the business strategy and implications on Data and Analytic needs ; Ability to story-tell through Visualisations

  • Data Mining / Sourcing Skills - Strong analytics capabilities to identify market opportunities using statistical & modelling Techniques

  • Understanding depth & breadth of data - Some capabilities to source, join and derive insights from disparate data sources across several domain

  • Financial/ Business/ Commercial/ Market Acumen - An understanding of Banking and the products, markets, industries, channels and customer segments dimensions and awareness of scenarios modelling optimisation Opportunities

About ANZ

At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career.

We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.

A happy workplace is a thriving one. So in order to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.

ANZ recognises the value of an inclusive and diverse work environment. We take pride in the diversity of our people and encourage applications from diverse candidates. Our recruitment decisions are based on the key inherent needs and requirements of each role, and candidates are selected based on their unique strengths and characteristics.

We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.

To find out more about working at ANZ or to view other opportunities visit You may apply for this role by visiting ANZ Careers and search for reference number IND028049.

*** Mention DataYoshi when applying ***

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