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ANZ Banking Group

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4.1

based on 1k Reviews

Video summary

30 ANZ Banking Group Jobs

Senior Data Analyst

ANZ Banking Group

4.1

based on 1k Reviews

9-12 years

₹ 11.5 - 7L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Senior Data Analyst

ANZ Banking Group

posted 1d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis SQL Clinical Data Management Analytical Chemistry Financial Services Financial Risk Management

+ 3 more

Job Description

Reduce non-financial risk by improving processes, systems, and controls.

Collaborate with system and process owners for necessary modifications.
Prepare and deliver presentations on findings and recommendations.
Influence stakeholders to enhance data quality and processes.
Work collaboratively across divisions and with partners.
Ensure data is managed to meet obligations and achieve business outcomes.
Source and analyse data to identify and resolve data quality issues.
Address complex business issues using structured and unstructured data.
Manage and remediate data quality issues.
Support teams in delivering high-quality data outcomes.
Lead activities to drive business value with a data focus.
Contribute to the strategic evolution of Data Risk.
Maintain robust data quality, reference, and master data practices.
Support data mapping, cataloguing, and addressing data quality issues.
Deliver against milestones and address constraints.
Uphold ANZs core values in all interactions.

What will you bring

To grow and be successful in this role, you will ideally bring the following:

9+ years experience as Data Analyst, Data Quality Analyst or Business Analyst.
Team player with autonomous work capability.
Broad understanding of compliance, operational risk, data quality, and privacy management.
Experience in identifying and mitigating non-financial risks.
Ability to design and implement effective risk controls.
Proficient in SQL and data analysis techniques.
Experience in data analysis, modelling, architecture, and engineering.
Ability to challenge and reframe data management approaches.
Excellent analytical, problem-solving, presentation, and communication skills.
Highly collaborative with strong stakeholder engagement and influencing skills.
Proven critical thinking and problem-solving capability.
Experience with agile execution and data-driven business case support.
Strong relationship-building and collaboration skills.
Lean Six Sigma certification or experience (preferred).
Experience with data management capabilities (metadata, data lineage, simplification, asset definition, accountability, data lifecycle).

You re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we d love to hear from you.

So why join us

ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the banks largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the banks strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. Were proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong.

We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support.

To find out more about working at ANZ visit https://www.anz.com/careers/ . You can apply for this role by visiting ANZ Careers and searching for reference number 89025.

Job Posting End Date

10/03/2025 , 11.59pm, (Melbourne Australia)

Employment Type: Full Time, Permanent

Read full job description

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