Average Business Intelligence Manager Salary in Australia

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The average salary for a Business Intelligence Manager in Australia is AU$124,218.
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United States (change)
AU$96k - AU$155k
AU$1k - AU$18k
Profit Sharing
AU$0 - AU$3k
Total Pay
AU$97k - AU$170k

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Job Description for Business Intelligence Manager

Business Intelligence Manager Tasks
  • Implement, integrate, and extract data from data warehouses across the organization.
  • Audit and take steps to remedy data quality, including making recommendations for end users.
  • Design, code, and manage developers to meet specifications for physical, logical, and end user data, dashboards, and tools.
  • Define, analyze, and report on analytics and financials for a variety of projects.

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Popular Skills for Business Intelligence Manager

Skills in Data Analysis and Project Management are correlated to pay that is above average. Skills that pay less than market rate include Microsoft SQL Server, SQL and Business Intelligence.

Pay by Experience Level for Business Intelligence Manager

An early career Business Intelligence Manager with 1-4 years of experience earns an average total compensation (includes tips, bonus, and overtime pay) of AU$114,913 based on 15 salaries. A mid-career Business Intelligence Manager with 5-9 years of experience earns an average total compensation of AU$119,750 based on 13 salaries. An experienced Business Intelligence Manager with 10-19 years of experience earns an average total compensation of AU$123,358 based on 33 salaries. In their late career (20 years and higher), employees earn an average total compensation of AU$137,454.

Pay Difference by Location

Learn more about cost of living by city.
Employees with Business Intelligence Manager in their job title in Melbourne, Victoria earn an average of 2.7% more than the national average. These job titles also find higher than average salaries in Sydney, New South Wales (0.7% more). The lowest salaries can be found in Brisbane, Queensland (3.4% less).

Years of Experience

This data is based on 73 survey responses.
Early Career
Mid Career
Late Career