Data Management Operations Analyst

Job Summary

As a Data Analyst in our Data Management Operations Team, you will play a key role in helping executing data management capabilities in the Division, spanning Data Quality, Reference and Master Data, Standards and Obligations.

The role will require you to combine your experience spanning data analysis across systems and business processes as well as your data management skills to achieve outcomes. Depending on your experience, you will contribute to or lead the delivery of insights, including deep-dive analysis and executive-ready insights for senior leaders and governance forums.

Your role will be critical in partnering with the business and supporting them with your knowledge of data management and your familiarity with the Enterprise Data Risk Framework, Standards and Policies. As a Data Management Operations Data Analyst, you will consult with stakeholders to understand the business problem and collaborate with other data practitioners to define and deliver appropriate data solutions.

Banking is changing and we re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you ll be building your future, while helping to build ours.

Role Details

Role Type: Permanent. Role Location: Bengaluru. Work Hours: Regular Shifts(HybridBlended).

Responsibilities

• Work collaboratively with colleagues within our Division, Data Analytics Team, as well with our business stakeholders and partners spanning Enterprise Data Risk, Technology, Digital and other divisions.
• Help ensure data is organised, managed and leveraged within Australia Retail to meet obligations, help the Business and achieve tangible business outcomes for Customers and Bankers.
• Support multiple business units in Australia Retail with the delivery of data outcomes - including understanding requirements, mapping, analysing, and supporting process and process evolution resulting in high-quality data.
• Manage - and at times lead - activities and issues to drive business value with data as a focus
• Operate a robust approach to Data Quality, Reference and Master Data, Policies, Standards and Obligations reviews, Records, Privacy and Ethics management
• Managing data quality issues and driving remediation strategies and execution
• Mapping and cataloguing data elements and data assets and addressing any data quality shortcomings identified in our divisions data
• Delivering against committed milestones
• Identify and address constraints that hinder progress, escalating as appropriate
• Ensure ANZs core values are always maintained in dealing with staff, colleagues and customers.

What will you bring

Requirements

• Must have 8+years relevant experience.
• A strong team player who builds trusted relationships, collaborates effectively, shares knowledge, and embraces continuous learning.
• Experience or exposure to data management or data governance concepts, particularly data quality.
• Experience identifying, analysing and resolving data quality issues.
• Solid understanding of key data concepts such as data cataloguing, metadata, data lineage, data assets, accountability for data, and the data lifecycle.
• Strong capability/experience in data analysis, analytics engineering and visualisation tools (Qlik Sense, data modelling with dbt, and SQL experience advantageous)
• Strong stakeholder management, communication and presentation skills, with the ability to engage effectively with both technical and non-technical stakeholders.

Good to have knowledge, skills and experiences

• Frontline and operational knowledge or experience with processes and systems advantageous, but not necessary
• Experience in data analysis roles supporting product and customer change initiatives, with scope and accountability aligned to your level of experience
• Developed understanding of compliance, operational risk, and data protection / privacy principles, particularly in the context of data quality.
• Experience working in an Agile or delivery-focused environment, with an ability to analyse information and support fact-based decision making.
• Experience working with data in Financial Services

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.