ANZ Hiring Drive 2024: ANZ Hiring Drive 2024 for its Data Analyst. ANZ Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.
Company Name: ANZ
Role: Data Analyst
Location: Bengaluru
Experience: 1 – 5 years
Qualification: Bachelor’s degree
Batch: Any
Job Type: Full Time
Salary: 15.0 To 21.5 LPA (Expected)
ANZ Hiring Drive 2024
Job Description:
- 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
Requirements:
- Strong communication and presentation skills
- Potent experience in Data Analytics, data visualisation skills with 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 of tool (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)
Responsibility:
- 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 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
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