Data analyst salary in Australia after tax — 2026
Australia's data industry has matured fast — major banks, superannuation funds, mining companies, and the federal government now have large analytics teams. The pay scales have improved accordingly. Here's what data analysts actually take home in 2026–27.
Take-home pay by level — Australian data analysts 2026–27
| Level | Annual Salary | Monthly Take-Home | Super (12%, additional) |
|---|---|---|---|
| Junior Data Analyst (0–2 yrs) | A$65,000–A$80,000 | A$4,503–A$5,356/mo | A$7,800–A$9,600/yr |
| Mid-Level Analyst (3–5 yrs) | A$85,000–A$105,000 | A$5,600–A$6,759/mo | A$10,200–A$12,600/yr |
| Senior Data Analyst | A$110,000–A$135,000 | A$7,000–A$8,228/mo | A$13,200–A$16,200/yr |
| Lead / Data Scientist | A$135,000–A$165,000 | A$8,228–A$9,592/mo | A$16,200–A$19,800/yr |
| Head of Analytics | A$165,000–A$220,000 | A$9,592–A$11,735/mo | A$19,800–A$26,400/yr |
Source: SEEK Salary Insights 2026, LinkedIn AU 2026, Hays Technology AU. FY2026–27 ATO tax rates + 2% Medicare Levy. Super 12% is employer-paid on top of salary shown.
Industry breakdown — banking, government, and tech pay differently
| Industry | Median Senior Analyst Salary | Monthly Net |
|---|---|---|
| Financial Services / Banking | A$130,000–A$155,000 | A$7,951–A$9,126/mo |
| Tech / Scale-ups | A$120,000–A$145,000 | A$7,382–A$8,720/mo |
| Mining / Resources (WA) | A$130,000–A$160,000 | A$7,951–A$9,360/mo |
| Healthcare | A$100,000–A$120,000 | A$6,489–A$7,382/mo |
| Government / APS | A$90,000–A$115,000 | A$5,929–A$7,268/mo |
| Retail / FMCG | A$90,000–A$110,000 | A$5,929–A$7,000/mo |
Frequently asked questions
A junior data analyst (A$65,000–A$80,000) takes home approximately A$4,503–A$5,356/month. A mid-level analyst on A$90,000 takes home about A$5,929/month. A senior analyst on A$120,000 takes home roughly A$7,382/month. All figures are after income tax and Medicare Levy, and exclude the 12% employer super contribution paid on top.
Yes — significantly. The Australian government's Digital Economy Strategy and major bank digital transformation programmes have created substantial demand for analysts. Roles in data engineering, BI, and ML engineering are particularly in demand. Australia's data sector has also benefited from international talent inflows (India, UK, South Africa) which has increased the overall talent pool but also raised the skill bar — entry-level roles now increasingly require Python proficiency alongside SQL.