ANZ Hiring Drive 2024 For Data Analyst | Location Bengaluru

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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


  • 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)


  • 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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