Data Analytics Jobs in Australia
There are 1,714 open Data Analytics jobs in Australia on freehire right now. 673 of them were posted recently. The skills employers ask for most often are analytics, sql and powerbi.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| AUD | year | A$108,800 | A$117,726 | A$133,602 | 36 |
| USD | year | $101,700 | $114,300 | $126,800 | 26 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- analytics 23%
- sql 18%
- powerbi 13%
- ai 12%
- python 11%
- automation 10%
- data-quality 9%
- cloud 9%
How the work is done
- Hybrid 313 · 18%
- Onsite 114 · 7%
- Remote 61 · 4%
Visa sponsorship offered in 15% of the 166 postings that state a position on it.
Seniority
- Senior 416
- Lead 57
- Principal 39
- Junior 32
- Middle 21
- Intern 20
Who is hiring
- 1000+ employees 307
- 501-1000 employees 113
- 51-200 employees 25
- 11-50 employees 8
- 201-500 employees 8
- 1-10 employees 2

Senior Test Analyst
Owns mobile app quality for a major iOS/Android feature: designs test strategy, runs functional/regression cycles, and ensures smooth releases across both platforms.
Infrastructure Planning Analyst Lead
Leads infrastructure planning for the City of Gold Coast, analyzing data and coordinating projects to support urban development and services.
Senior Data and Reporting Analyst
Data Analytics and Reporting Specialist position - Fed Gov 12-month contract with extension potential Must be an Australian Citizen, open to ACT, NSW, VIC, QLD, SA (Hybrid working) SAP Public Sector Collections &…
Security Data Analyst
Analyze security and safety data to spot risks, trends, and vulnerabilities, then build Power BI dashboards and Power Apps for intelligence reporting and operational planning.
AI Content Analyst (No Experience Required)
Evaluate AI-generated and human content for accuracy and relevance across search, news, and media platforms to improve AI training.
Business Intelligence Developer- South Bank, QLD
Build and maintain data models, reports, and dashboards to turn raw data into actionable marketing insights using SQL, Python/R, and analytics.