Associate, Data

Bangalore, IN

ANZ Banking Group Limited

ANZ offers a range of personal banking services such as internet banking, bank accounts, credit cards, home loans, personal loans, travel and international, investment and insurance. Learn about easy and secure ways to manage your money.

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About Us


At ANZ, we're 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

Role Location: Manyata Tech Bengaluru
Role Type: Permanent


The Online Customer Platform (OCP) Data & Analytics team provides the essential service of driving data insights & analysis, visualisation, and better data decisions. Our team does this for a diverse range of stakeholders across Institutional and Wholesale, with our aim to empower ANZ to better serve our wholesale customers with prompt data insights, meet regulatory requirements, and ensure compliance to the Data standards and policies. 
 

OCP Data & Analytics sits within the Service & Support (S&S) area of the Wholesale Credit Platform (WCP) team; a dynamic and exciting area tasked with providing analytics, reporting and data management controls across the platform. 
 

We are looking for a highly skilled Associate with strong data analysis and engineering capabilities to join our Institutional Wholesale Credit Platform team. As a Data Analyst, you will use your analytical and technical ability to generate meaningful insights and support data-driven decision-making across our institutional portfolio. You will work closely with business stakeholders, contribute to the development of automated data pipelines, and enhance our self-service analytics capabilities.

What will your day look like?

  • Data Analysis & Insights: Deliver actionable insights by analysing complex data sets, interpreting trends, and presenting findings in clear and concise formats that support key decision-making.
  • Data Engineering & Automation: Design, build, test and support scalable data pipelines and processes to streamline data ingestion, processing and automate reporting. Ensure data quality and reliability across all datasets.
  • Dashboarding & Visualization: Develop and improve self-serve analytics solutions, including interactive dashboards, to empower stakeholders with accessible data insights using tools such as Qlik Sense or Tableau.
  • Stakeholder Collaboration: Partner with business teams to understand data needs, gather requirements, and offer strategic insights. Translate business goals into data-driven solutions and ease data access.
  • Quality Assurance: Conduct data validation, testing, and quality checks to ensure accuracy and completeness of data outputs.
  • Continuous Improvement: Find opportunities to improve data processes, enhance data governance, and set up best practices for data management within the team. Support the management of Business/technical Metadata, Mappings and Lineage is captured as per enterprise standards to ensure overall data management is robust.
     

What will you bring?

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

​​​​​​​

  • Technical Expertise: Proven experience with SQL, Python, or R for data manipulation and analysis, and a solid foundation in data engineering concepts, including ETL processes, Data Modelling, and pipeline automation. Experience with Machine learning and AI technologies is a plus.
  • Visualization Tools: Advanced skills in data visualization tools (Qlik Sense, Tableau) with the ability to create intuitive, impactful dashboards.
  • Analytical Thinking: Strong problem-solving abilities with a strategic approach to data analysis and a focus on delivering practical business insights.
  • Communication & Collaboration: Excellent communication skills with the ability to translate complex technical concepts for a variety of stakeholders.
  • Preferred: Background in institutional or wholesale banking or experience in credit risk analysis. Familiarity with cloud platforms (e.g., AWS, GCP) is a plus.

 

 

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 bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's 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. We're 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 81956

Job Posting End Date

29/11/2024 , 11.59pm, (Melbourne Australia)

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Banking Credit risk Data analysis Data governance Data management Data pipelines Data quality Data visualization Engineering ETL GCP Machine Learning Pipelines Python Qlik R SQL Tableau Testing

Perks/benefits: Career development Flex hours Health care

Region: Asia/Pacific
Country: India

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