About
Learn about DataJobs.AU - the free analytics dashboard tracking the Australian data job market in real time.
What DataJobs.AU is
DataJobs.AU is a free, open dashboard tracking the Australian data job market. It exists because the salary and demand information available to people working in data here is mostly either a recruiter's annual PDF, a global figure that quietly assumes US pay, or an anonymous forum thread. This site takes a narrower but more defensible approach: it reports what Australian employers are currently advertising, and is explicit about what that does and does not tell you.
There is no account, no paywall, and no application funnel. Listings link out to the original posting wherever it was published, and the aggregate views are free to read and cite.
Where the data comes from
Listings are ingested daily from a job-advertisement aggregator covering the Australian market, then classified into six role families and matched against a fixed list of thirty tracked skills. Each listing is re-checked against the source on an ongoing basis: one that stops appearing for seven days inside a thirty-day window is marked expired rather than left to look open indefinitely.
Salary figures are calculated only from listings that publish an actual range, using the midpoint of that range, and no figure is reported until at least five salaried listings support it. Skill pages with fewer than five active listings behind them stay readable but are excluded from the site's sitemap, because a page with nothing behind it is not worth putting in front of a search engine.
Known limitations
Advertised salaries are not the same as paid salaries, and the listings that publish a range skew junior, public sector, and contract. Listing counts measure advertising activity rather than hires, and one role can be advertised more than once. Role classification is based on job titles and ad text, which are used inconsistently across employers — an "Analytics Engineer" or "BI Developer" may land in a different family than you would expect.
These are limits of the method rather than bugs, and the figures are still useful for direction, relative comparison, and benchmarking. They are not a substitute for knowing what your specific employer pays for your specific level.