Bank Data Analyst Job in Bangalore 2026: ANZ Recruitment 2026 – Data Management operation Analyst Bank Job in Bangalore: ANZ has published a job posting on its official careers page website for the position of Data Management operation Analyst at its Bangalore branch office. This off-campus ANZ recruitment for 2026 has only 01 vacancy.
The minimum qualification is a graduate degree, and the last date to apply is 16th January 2026. Candidates should have 1 to 2 years of foundation experience. For complete information about ANZ recruitment 2026 | Data Management operation Analyst | Bangalore- age limit, selection process, and how to apply, please read below.
ANZBank Data Analyst Job in Bangalore 2026: Job Notification Details Naukripaper.com
Bank Name
ANZ Bank
Post Name
Data Management Operation Analyst
Total No. of Post
01
Job Location
Bangalore
Working Hours
Standard, Hybrid work Model
Education
Degree qualification in data science, computer science, information technology, and information statistics
Experience
1 to 2 years of foundation experience.
Department
AR Data Management
Reg ID
108824
Category
Private Bank Job
Posted Date
9, January 2026
Application Process
Online
Appointment Process
Online
Important Dates
Online Application Start Date
9 January 2026
Application Last Date
16 January 2026
Candidates are advised to confirm from the ANZ Bank official website.
No of Posts & their Eligibility Criteria
Name of Post
No. of Posts
Education Qualification
Data Management Operation Analyst
01
Degree qualification in data science, computer science, information technology, and information statistics, Applied mathematics, Business Administration or Equivalent.
Total
01
Required Experience
1) 1 to 2 years of foundational experience or exposure to data management or data governance concepts, particularly data quality.
2) Experience in identifying, analyzing and resolving issues related to data quality.
3) Experience working in agile or delivery focused teams, supporting fact- based and informed decision making.
4) Basic to intermediate proficiency in data analysis tools such as Excel and SQL, with exposure to python, Tableau, Qlik Sence or similar tools.
5) Foundational experience/ understanding of compliance, operational risk, and data protection and privacy principles, especially related to data quality.
Job Profile and Responsibilities
1) Analyze data and business process to support effective data management outcomes.
2) Partner with business stakeholder to understand business problem and translate them into data solution.
3) Collaborate with Data and Analytics, technology, digital and Enterprise data risk team.
4) Track and deliver work against committed milestone s and timelines.
5) Lead and support data- related initiative and issue resolution to drive business value.
6) Ensure alignment with ANZ core values in all interaction with stakeholder and customer.
How To Apply
Credit: Content Source ANZ Bank official website.
ANZ Bank Data Management Operation Analyst Job Vacancy 2026 in Bangalore.
To learn more about ANZ Bank Post Vacancy 2026, visit the official ANZ Bank Career website, search this Data Management Operation Analyst job. Complete all the Recruitment process given by the Bank.
Follow and stay updated for New Bank Job Vacancy Information on our website, naukripaper.com.
We are not associated or affiliated with any agency, organization, company, or agent. For more information, please read our Disclaimer Policy and Terms of Service. All company names, brands, and content belong to their respective owners and are used on this website for identification purposes only.
Frequently Asked Questions– Bank Data Analyst Job in Bangalore 2026
Q. What education is required for ANZ Data Management Operation Analyst post?
Ans. Degree qualification in data science, computer science, information technology, and information statistics, applied mathematics, Business Administration or Equivalent.
Q. What experience is required for a Data Management Operation Analyst in ANZ Bank?
Ans. The candidates must have 1 to 2 years of experience in data management and governance, focusing on data quality, skilled in identifying and resolving data issues, working in agile teams, using excel, SQL, Python, tableau, or Qliksense with foundation knowledge of compliance, operational risk, and data privacy principles.