ANZ (Australia New Zealand) is currently seeking fresh graduates for the role of Data Analyst in Bengaluru. This position welcomes candidates from any graduate background who are looking to kick-start their career in data analysis. As a Data Analyst at ANZ, successful candidates will have the opportunity to apply their analytical skills and learn from experienced professionals in the field. This role provides an excellent platform for fresh graduates to gain valuable hands-on experience in data analysis while contributing to ANZ’s operations in Bengaluru.
Company Name: ANZ(Australia New Zealand)
Job Role: Data Analyst
Education Required: Any Graduate
Experience Required: Freshers
Job Location: Bengaluru
Role and Responsibilities:
- 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 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 analyze 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, synthesize, and analyze to generate insights.
- Support key data platform and/or data scheduling jobs to support insights delivery to key audiences (e.g. frontline, other tribes)
- Led, optimized, designed, and executed business interventions (customers and operational) to uplift customer engagement and business performance.
Required Skills and Qualification:
- Strong communication and presentation skills.
- Potent experience in Data Analytics, and data visualization skills with the ability to translate data insights into practical business recommendations.
- Good understanding of concepts in applied probability and statistics.
- Hands-on knowledge and experience with tools and techniques for analysis, data manipulation, and presentation in any tools (e.g. SQL, Tableau, Qliksense, Knime, Python, Teradata, Onprem cloud tools)
- Analytical and inquisitive mindset to continuously improve the level of insight surfaced.
- Agile practices, Domain knowledge – Product, processes and system, Data Quality and Validation checks.
- Ability to effectively communicate to all stakeholders (technical and non-technical)
