Business Data Analyst
ANZ
full-time
Posted on:
Location Type: Office
Location: Docklands • Australia
Visit company websiteExplore more
About the role
- Perform change impact assessments based on agreed business requirements between the project team and relevant business units.
- Conduct data discovery workshops with senior data and business stakeholders to identify available data and required data across multiple source systems.
- Ability to quickly gather requirements as well as information on the progress of work and communicate them to key stakeholders
- Extract, analyse, and document data lineage from multiple data stores and repositories using SQL and/or other tools.
- Undertake detailed reviews of files and columns against requirements to uncover and share data gaps across enterprise systems.
- Raise and coordinate front-door tickets/processes for data onboarding with Risk Transformation.
- Collaborate with technology architects to gather input and feedback on proposed changes to affected data stores.
- Update or propose updates to metadata for new or altered data elements.
- Ensure compliance with ANZ’s data assurance procedures.
- Support planning activities for implementing data integrations and quality controls.
Requirements
- Strong understanding of ANZ divisional and enterprise data, particularly:
- Customer onboarding systems / KYC
- Regulatory reporting
- Transaction processing systems or payments
- Management reporting
- Ability to interpret and document data flows and lineage.
- Familiarity with risk and compliance frameworks in financial services.
- Knowledge of Financial Crime and AML/CTF regulations (highly desirable).
- Excellent business acumen and professional communication skills (written and verbal) for engaging stakeholders at all levels.
- Strong analytical mindset with attention to detail.
- Collaborative team player who can work across multiple priorities.
- Proactive problem solver with the ability to navigate ambiguity.
- Profound knowledge of enterprise data technologies, design, and processes (highly desirable).
- Proficiency in SQL, python and experience working with large, complex data environments (highly desirable).
Benefits
- 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata lineagedata discoverydata integrationdata quality controlsdata onboardingregulatory reportingtransaction processingcustomer onboarding systems
Soft Skills
business acumenprofessional communicationanalytical mindsetattention to detailcollaborative team playerproactive problem solverability to navigate ambiguitystakeholder engagement