Data Analyst
Bengaluru, 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.About the role
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To deeply understand the power of data to generate quality customer insights, manage information, identify trends and make decisions.
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This critical role represents the engine of our team and enables quality outcomes. Without it we will not be successful.
What will your day look like
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Implement a fact-based culture throughout the bank.
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Demonstrates in-depth customer insights and acts as an advocate, enhancing the customer experience by challenging and encouraging others to put the customer first.
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Maintains commitment to change; engages with others to gain buy-in and act as an advocate for continuous improvement. Proactively identifies, support and drive opportunities for change
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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.
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Continuous measurement and analysis of various data risk & customer journeys.
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Perform data analysis within the team in order to support team goals.
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Generate, monitor, present and analyse relevant insights and risks for stakeholders of Data Risk.
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Sourcing data from a variety of sources to combine, synthesise and analyse to generate insights.
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Support key data platforms and/or data scheduling jobs to support insights delivery to key audiences
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Lead, Optimise, Design and execute enterprise data & advisory services and capabilities increase adotion of the Data Management, the Data Risk Theme & relevant frameworks to ultimately uplift critical data in ANZ.
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This role will also provide support to wider Data Risk team initiatives as required.
What will you bring?
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8 years overall, with a minimum of 5 years minimum as a Data Analyst.
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Strong skillset in writing complex SQLs .
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Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
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Expertise in data model designs - From data conceptual to physical implementation of semantic models.
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Adept at writing SQL queries, procedures across different database platforms.
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Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
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Be a change driver for Modern data management whereby Data quality, data integrity and data lineage are measured consistently.
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Work with the team in developing a framework whereby the Data Quality and Metadata standards are implemented and maintained
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Good grasp of the Cloud providers in the field of Data Governance, and techniques implemented for capturing and implementing rules for Data Quality.
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Hands-on knowledge and experience with tools and techniques for analysis (eg data warehouses, databases (e.g., SAS, SQL, Cognos, etc.), and data processing tools, analysis, presentation and application
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Strong ability to translate data insights into practical business recommendations
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Depending on the team allocation and assignment, a mix of:
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Dashboarding experience (Qlik, Tableau)
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Data Platform Engineering and/or Data Operations management
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 & 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% 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.
Job Posting End Date
10/05/2024, 11.59pm, (Melbourne Australia)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking CX Data analysis Data governance Data management DataOps Data quality Engineering Qlik SAS SQL Tableau
Perks/benefits: Flex hours Health care
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