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Business intelligence analyst - financial performance insights

Melbourne
beBee Careers
Posted: 15 June
Offer description

Job Title: Business Intelligence Analyst – Financial Performance Insights.

The role of a Senior Associate in Personal Banking Finance at NAB presents an exciting opportunity to delve into the world of finance and commercial drivers of personal banking. As part of this team, you will be responsible for identifying opportunities to deliver services more efficiently and effectively communicating insights in a clear and digestible format.

Some of your key responsibilities will include reviewing historical financial and non-financial data to illustrate relationships between data sets using Power Pivot or Power BI, increasing proficiency in data extraction, manipulation, and presentation tools, including Excel, HFM, Thinkcell, and PowerPoint, and developing effective stakeholder skills to gather information that cannot be self-sourced and responding to finance stakeholder queries.

In order to excel in this role, you will need to have effective utilisation of tools to extract, manipulate, and analyse data, excellent written and verbal communication skills, along with resilience in stakeholder management, experience in analysis and problem-solving, professional experience in finance/accounting, financial services, corporate reporting, risk reporting, or data analytics, and tertiary qualification in Commerce/Business/Economics or related field, ideally working towards CA/CPA.

NAB values diversity and inclusion, striving to create an environment where everyone feels valued and appreciated for being their authentic selves. Our Employee Resource Groups foster an inclusive environment, where all colleagues' unique backgrounds and identities are understood, respected, and celebrated.

To discuss adjustment requirements, please contact the Careers team via phone.

This is a unique chance to contribute to the close and consolidation of monthly Personal Banking division results, review historical financial and non-financial data to illustrate relationships between data sets, and develop effective stakeholder skills to gather information that cannot be self-sourced and respond to finance stakeholder queries.

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