Want to get hired at NAB?
Senior Analyst
NAB
Melbourne, Victoria, AustraliaOn Site
Original Job Summary
Overview
The Senior Analyst at NAB plays a key role in designing and developing Power BI reports and dashboards. This 6-month fixed term opportunity invites you to bring ideas, ambition, and passion to create lasting customer relationships in Australia and New Zealand.
Main Responsibilities
- Design and develop Power BI reports and dashboards.
- Troubleshoot and resolve issues in Power BI reports.
- Gather business requirements for data visualization and analysis.
- Draw data from various sources to create insights.
- Act as the SME for data lineage, quality, and reporting uplift.
- Support regulatory and ad hoc reporting for compliance.
- Drive operational excellence and continuous improvement.
Requirements
- Strong experience in Power BI report and dashboard development.
- Proven working experience as a Business Analyst.
- Proficiency in SQL and Python for data analysis.
- Ability to analyze large datasets for actionable insights.
- Strong relationship building across the value stream.
- Demonstrated commitment to customer experience and improvement.
Work Environment
NAB values a diverse and inclusive culture where each individual is respected. This position is part of the Fulfilment and Operations team with a strong customer obsession and adherence to NAB's Code of Conduct.
Key skills/competency
- Power BI
- SQL
- Python
- Data Analysis
- Business Analysis
- Reporting
- Dashboard Development
- Operational Excellence
- Continuous Improvement
- Customer Focus
How to Get Hired at NAB
🎯 Tips for Getting Hired
- Research NAB's culture: Study their mission, values, and recent news.
- Customize your resume: Highlight Power BI, SQL, and Python skills.
- Prepare specific examples: Detail successful data-driven projects.
- Network on LinkedIn: Connect with current NAB employees.
📝 Interview Preparation Advice
Technical Preparation
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Practice creating Power BI dashboards
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Review SQL query optimization techniques
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Brush up on Python data manipulation
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Study data visualization best practices
Behavioral Questions
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Describe a time you solved data issues
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Explain your approach to meeting deadlines
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Share an example of team collaboration
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Discuss handling client feedback effectively