Are you interested in starting or growing your career in data analytics, workforce analytics, and data management? The latest ANZ Data Analyst opportunity in Bengaluru is a strong option for candidates who enjoy working with complex datasets, identifying data issues, and turning information into reliable business insights.
This role is part of ANZ’s Workforce Governance team and focuses on preparing, validating, analysing, and reporting workforce data used in SuccessFactors. Candidates with strong Excel, Python, data quality, and analytical skills can consider this opportunity.
- 1 ANZ Data Analyst Recruitment 2026 – Overview
- 2 About the ANZ Data Analyst Role
- 3 What Does an ANZ Data Analyst Do?
- 4 ANZ Data Analyst Eligibility
- 5 Required Technical Skills
- 6 Python Skills
- 7 Who Should Apply for the ANZ Data Analyst Role?
- 8 Career Growth Opportunities
- 9 Why Join ANZ?
- 10 ANZ Data Analyst Work Location
- 11 Application Deadline
- 12 Final Thoughts
ANZ Data Analyst Recruitment 2026 – Overview
| Job Details | Information |
|---|---|
| Company | ANZ |
| Job Role | Data Analyst – Workforce Governance |
| Keyword | ANZ Data Analyst |
| Req ID | 121794 |
| Department | T&C Workforce Strategy & Analytics |
| Division | Talent & Culture |
| Location | Bengaluru |
| Work Location | Manyata Tech Park |
| Job Type | Permanent |
| Work Hours | 8 AM – 5 PM |
| Key Skills | Excel, Python, Data Analysis, Data Management |
| Experience | Relevant data analytics experience preferred |
About the ANZ Data Analyst Role
The ANZ Data Analyst will work within the Workforce Governance function, helping the organization manage large and complex people and position data changes.
As ANZ continues its transformation initiatives, workforce data can go through significant changes. The Data Analyst helps ensure that this information is properly structured, validated, and prepared before changes are executed in SuccessFactors.
The role is not simply about creating reports. It involves data cleansing, reconciliation, validation, quality control, analysis, and process improvement.
What Does an ANZ Data Analyst Do?
An ANZ Data Analyst works with workforce datasets and helps ensure that information is accurate before it is used in operational processes.
The position involves:
- Collecting workforce data.
- Cleaning and integrating datasets.
- Identifying inconsistencies and anomalies.
- Applying data quality checks.
- Preparing data for SuccessFactors changes.
- Analysing execution results.
- Reporting errors and improvement opportunities.
- Working with different business and technical teams.
- Supporting workforce governance initiatives.
Attention to detail is especially important because inaccurate workforce data can affect downstream processes, reporting, and business operations.
ANZ Data Analyst Eligibility
Candidates should have a strong foundation in data analysis and data management.
The ideal candidate should have:
- Strong data literacy.
- Experience working with complex datasets.
- Knowledge of data quality controls.
- Experience with data cleansing and validation.
- Ability to reconcile and structure data.
- Strong analytical thinking.
- Good communication skills.
- Strong attention to detail.
- Business understanding.
The company also mentions that candidates do not need to have every listed skill. A strong growth mindset and willingness to learn are valued.
Required Technical Skills
The ANZ Data Analyst position places particular importance on Excel and Python.
| Skill | Expected Knowledge |
|---|---|
| Advanced Excel | Data analysis and manipulation |
| Python | Data processing and analysis |
| Data Analysis | Finding patterns and insights |
| Data Cleansing | Preparing accurate datasets |
| Data Validation | Identifying errors and inconsistencies |
| Data Reconciliation | Comparing and verifying information |
| Data Management | Maintaining reliable workforce data |
| Reporting | Communicating analytical findings |
| Data Quality | Applying controls and checks |
| Process Improvement | Identifying ways to improve workflows |
Python Skills
Python is another important technical skill mentioned in the job description.
Candidates should understand how Python can be used for:
- Data cleaning.
- Data transformation.
- Dataset validation.
- Automating repetitive tasks.
- Identifying anomalies.
- Processing large datasets.
- Generating analytical outputs.
Candidates don’t necessarily need highly advanced programming skills, but practical data-analysis knowledge in Python can be valuable.
Who Should Apply for the ANZ Data Analyst Role?
The ANZ Data Analyst opportunity may be suitable for candidates who enjoy working with data and solving business problems.
You may be a good fit if you:
- Enjoy analysing large datasets.
- Have strong Excel skills.
- Know Python for data analysis.
- Pay close attention to details.
- Like finding errors and inconsistencies.
- Can explain data clearly.
- Are interested in HR analytics or workforce data.
- Enjoy working with multiple teams.
- Want to develop your career in data analytics.
Career Growth Opportunities
A role as an ANZ Data Analyst can provide experience across data analytics, workforce governance, reporting, data quality, and business operations.
With experience, professionals can explore roles such as:
Data Analyst → Senior Data Analyst → Data Analytics Specialist → Business Analyst → Data Consultant → Analytics Lead
Depending on your interests, you can also move toward data engineering, people analytics, business intelligence, or advanced analytics.
Why Join ANZ?
ANZ operates across more than 30 markets and has a major technology, data, and operations presence in Bengaluru.
The Bengaluru team is described as the bank’s largest technology, data, and operations centre outside Australia. This gives employees exposure to large-scale transformation initiatives and international teams.
ANZ also highlights flexible working options, health and wellbeing services, career development, and an inclusive workplace.
ANZ Data Analyst Work Location
The ANZ Data Analyst position is based at:
Manyata Tech Park, Bengaluru, Karnataka, India
The listed working hours are:
8:00 AM to 5:00 PM
The role is permanent.
Application Deadline
The job posting lists the closing date as:
24 August 2026, 11:59 PM Melbourne Australia time
Candidates interested in the ANZ Data Analyst position should check the official ANZ Careers portal and apply before the listed deadline.
Final Thoughts
The ANZ Data Analyst opportunity in Bengaluru is a good option for professionals interested in combining data analytics, Python, Advanced Excel, data quality, workforce governance, and business operations.
The role provides exposure to complex workforce datasets, SuccessFactors processes, data validation, reporting, and cross-functional collaboration. Candidates who enjoy working with data and solving practical business problems may find this a valuable career opportunity.
If you have strong analytical skills, good communication abilities, and practical knowledge of Excel and Python, the ANZ Data Analyst role is worth considering.
