Data Analyst Visa Pathway Australia

Australia classifies Data Analyst under ANZSCO 224114. The Home Affairs occupation list names the Australian Computer Society (ACS) as the assessing authority. The occupation sits on the Core Skills Occupation List (CSOL) only, which restricts visas to subclasses 482 and 186 (employer-sponsored). Typical 2026 salaries range AUD $95,000-$140,000. Demand is forecast to grow 23.2% over the next five years.

Quick Facts: Data Analyst Migration Pathway

What a Data Analyst Does in Australia

Data Analysts collect, clean, analyse and interpret data to inform business decisions. Day-to-day work includes building dashboards (Power BI, Tableau, Looker), running SQL against data warehouses (Snowflake, BigQuery, Redshift, Databricks), writing Python or R for ad-hoc analysis, producing reports for business stakeholders, and increasingly building or maintaining the data pipelines that feed analytics. The role overlaps with Data Engineer, Business Intelligence Analyst, and (at the senior end) Data Scientist.

Australian demand sits across financial services (CBA, NAB, Westpac, ANZ, Macquarie, Suncorp, IAG, AMP), retail (Wesfarmers, Woolworths, Coles, Bunnings), telco (Telstra, Optus), government (ATO, Services Australia, ABS), healthcare (NSW Health, Medibank, BUPA, Healthscope) and consulting (Big 4 plus boutiques like Mantel Group, Servian, Eliiza). Sydney and Melbourne hold the largest concentrations; Brisbane, Perth and Canberra all have meaningful demand.

The market matured rapidly between 2022 and 2026. Cloud data warehouse skills (Snowflake, Databricks), modern transformation tooling (dbt), and Python for analytics are baseline expectations for mid and senior roles. Pure dashboard-and-Excel analyst roles still exist but are increasingly compressed into entry-level or graduate positions.

ANZSCO 224114 — Code Mapping

The official description for 224114 covers professionals who collect, analyse and interpret data to provide insights that drive decision-making, manage data sources, ensure data quality, apply statistical methods, and create reports or dashboards.

Typical tasks include:

• Querying data warehouses and building ETL/ELT pipelines
• Designing and maintaining dashboards and self-service reporting
• Applying statistical methods (regression, segmentation, time series, A/B testing)
• Cleansing, validating and governing datasets
• Communicating findings to non-technical business stakeholders

Code distinctions:

• 224114 Data Analyst vs 224113 Statistician — Statistician is more research-oriented and assessed by VETASSESS under a different code; Statistician also sits on the MLTSSL while Data Analyst sits only on the CSOL.
• 224114 Data Analyst vs 261111 ICT Business Analyst — Business Analyst is requirements-led; Data Analyst is data-led. ACS assesses both.
• 224114 Data Analyst vs 261313 Software Engineer — Software Engineer is code-led and assessed by ACS; Data Analyst is analysis-led even when Python and SQL are used heavily.

Choice of code matters because the visa pathways differ, and for Statistician the assessing body differs too. See the related Data Scientist & AI Specialist guide for how data scientists typically map to 261313, 261111 or 224113 rather than 224114.

Skills Assessment — ACS

The Australian Computer Society (ACS) is the assessing authority Home Affairs lists for Data Analyst (224114). Some guides wrongly name VETASSESS. VETASSESS assesses Statistician (224113), not 224114.

Eligibility: ACS assesses your qualification and your employment against the ANZSCO description of Data Analyst (224114). Check the ACS skills assessment guidelines for the qualification and experience rules before you apply.

Assessment cost: depends on your ACS pathway. Check the current fees on the ACS fees page.

Processing time: 4 to 6 weeks, according to the ACS.

Common rejection reasons:

1. Field-of-study mismatch — a degree focused on software engineering rather than data analysis can be a weaker match for Data Analyst. Degrees that centre on statistics, data science, business analytics, mathematics or econometrics match the occupation most clearly.
2. Employment evidence that reads as Business Analyst or Software Engineer rather than Data Analyst. Assessors read references closely for analysis duties (statistical methods, data quality, dashboarding, insight generation) rather than requirements-gathering or code development.

Visa Pathways for Data Analysts

Because 224114 is on the CSOL only — not on the MLTSSL or STSOL — the points-tested pathways (subclasses 189, 190, 491) are closed for this code. Migration is exclusively through employer sponsorship.

This is the single most important fact for Data Analyst candidates: state nomination is not available for this ANZSCO code in 2026. Many candidates with data analytics careers nominate Statistician (224113) or ICT Business Analyst (261111) instead, because both codes have broader visa coverage. The trade-off is that your actual duties must match the chosen code.

Subclass 482 — Skills in Demand

The dominant pathway. Two streams apply depending on your offered salary.

• Visa fee: AUD4,015 for the main applicant
• Core Skills Income Threshold (CSIT): AUD79,423 (from 1 July 2026)
• Specialist Skills Income Threshold (SSIT): AUD146,576 (from 1 July 2026)
• Processing: Core Skills stream: 50% of applications processed within 4 months and 90% within 9 months; Specialist Skills stream: 50% of applications processed within 37 days and 90% within 78 days
• Duration: 4 years

Mid-level Data Analyst roles ($95,000-$130,000) sit comfortably above the CSIT but below the SSIT, placing them in the Core Skills stream (50% of applications processed within 4 months and 90% within 9 months). Senior Data Analyst and Lead Analyst roles in financial services and consulting routinely clear the SSIT and qualify for the faster Specialist Skills stream (50% of applications processed within 37 days and 90% within 78 days).

Subclass 186 — Employer Nomination Scheme

Permanent residency through employer sponsorship.

• Visa fee: AUD6,140 for the main applicant
• Streams: Direct Entry (positive ACS skills assessment + 3 years relevant work experience) or Temporary Residence Transition (after 2 years on a 482)
• SAF levy: a one-off $3,000 or $5,000 for a 186 nomination, depending on the employer's turnover, paid by the employer (Skilling Australians Fund charges regulations)
• Processing: Direct Entry stream: 50% of applications processed within 21 months and 90% within 25 months; Temporary Residence Transition stream: 50% of applications processed within 21 months and 90% within 25 months

The Direct Entry pathway is attractive because it grants permanent residency from day one. Employers willing to pay the higher up-front cost often prefer it for senior Data Analyst hires they expect to retain long-term.

Why No State Nomination?

Home Affairs does not list Data Analyst (224114) for the 190 or 491. Those visas use the MLTSSL, STSOL and ROL, and 224114 is on the CSOL only — the list that underpins employer-sponsored visas. No Australian state or territory can nominate this code under the current settings.

Two strategic responses:

1. Stay with 224114 and pursue employer sponsorship. If you have a confirmed job offer or are confident you can secure one, the 482-then-186 pathway is direct and avoids the points-test queue entirely.
2. Switch to a code with broader visa coverage. If your duties genuinely fit Statistician (224113), ICT Business Analyst (261111) or Software Engineer (261313), nominating one of those codes opens 189/190/491. The match must be genuine — Department of Home Affairs cross-checks references against the chosen code.

The data-scientist page on this site walks through the code-choice decision in detail. See Data Scientist & AI Specialist Visa Pathway.

Salary and Employment Outlook

Source: SEEK Career Advice (May 2026, $95k-$115k average), PayScale Australia 2026, AcademyXi 2026 Market Update, Glassdoor Australia 2026.

Total package includes superannuation at 12%, STIs of 10-20% in financial services, and small equity allocations at ASX200 employers and growth-stage startups.

Highest-paying sectors

• Financial services — Big 4 banks, Macquarie, AMP, Suncorp — strong base + STI
• Consulting — Big 4, Mantel Group, Servian, Eliiza, Deloitte Tech & AI — premium daily rates and project variety
• Resources — BHP, Rio Tinto, Woodside — operational analytics and asset optimisation
• Retail — Wesfarmers, Woolworths, Coles, Bunnings — customer analytics at scale
• Tech — Atlassian, Canva, REA Group, SafetyCulture — equity-heavy total packages

Demand forecast

The Jobs and Skills Australia labour market projections indicate Data Analyst employment is forecast to grow 23.2% over the next five years from 2026 — among the highest-growth professional occupations in Australia. SEEK currently advertises 770+ full-time Data Analyst roles. Demand is driven by AI/ML adoption, cloud data platform investment, regulatory reporting (especially in financial services and health) and customer experience analytics across retail and telco.

Tips for a Successful Application

1. Confirm ACS is the right assessing body for your situation

Home Affairs lists ACS as the assessing authority for 224114. Some guides wrongly say VETASSESS, which assesses Statistician (224113) instead. If you have a strong ICT degree and want to keep the option of state nomination, consider whether your duties also fit a closely related ACS code — Software Engineer (261313), ICT Business Analyst (261111), or Developer Programmer (261312) — which would open the 189/190/491 pathways.

2. Frame your references as analysis work, not engineering or requirements work

ACS reads references for Data Analyst-specific tasks: statistical methods applied, data quality work, dashboard design, insight generation, stakeholder communication. References that describe ETL pipeline development without analysis context can be assessed as Software Engineer or Developer Programmer work. Tailor the language to the ANZSCO description.

3. Map field-of-study carefully

A pure computer science degree can be a weaker match for Data Analyst than a quantitative degree. Statistics, applied mathematics, econometrics, data science and business analytics degrees are the strongest fit. A Master's in data science or analytics on top of a non-quantitative bachelor will often resolve the field-of-study question.

4. Plan for the employer-sponsored route from the start

Because state nomination is closed for 224114, your viable strategy is to secure an Australian job offer that triggers a 482 nomination. Major employers — banks, consultancies, retailers — sponsor Data Analyst roles routinely. Less common in small businesses where sponsorship costs are unfamiliar.

5. Aim above the SSIT if you can

The Specialist Skills 482 stream (at or above the SSIT, AUD146,576 (from 1 July 2026)) is faster: Home Affairs reports 50% of applications processed within 37 days and 90% within 78 days, against 50% of applications processed within 4 months and 90% within 9 months for Core Skills. Senior Data Analyst, Lead Analyst, Analytics Engineer and Analytics Manager roles in financial services and Big 4 consulting routinely clear the threshold. If you're negotiating an offer near the threshold, push for the salary level that triggers Specialist Skills lodgement.

Step-by-Step Migration Roadmap

1. Confirm 224114 is the right code versus 224113 (Statistician), 261111 (ICT Business Analyst) or 261313 (Software Engineer) — see the ANZSCO code finder and the related Data Scientist guide
2. Compile references describing data analysis duties (not ETL development or requirements work)
3. Sit your English test if not already done — you need to meet the English requirement for your visa stream
4. Lodge the ACS assessment (fee on the ACS fees page) — allow 4 to 6 weeks, according to the ACS
5. Search for Australian employers willing to sponsor a 482 — financial services, consulting, retail and tech are the main markets
6. Negotiate offer including visa sponsorship and SAF levy
7. Employer lodges 482 nomination + you lodge visa application
8. Submit health checks and police clearances
9. Receive visa grant and relocate
10. After at least two years of eligible full-time sponsored employment on a 482, transition to 186 permanent residency through Temporary Residence Transition stream
11. Alternatively, qualify for Direct Entry 186 from day one if you have a positive ACS assessment and 3 years' relevant work experience
12. Apply for Australian citizenship after 4 years of residence (1 year as PR)

Frequently Asked Questions

Why is Data Analyst assessed by ACS instead of VETASSESS?

ANZSCO 224114 sits in the "Information and Organisation Professionals" group rather than the ICT group, so many people expect VETASSESS. But the Home Affairs occupation list names ACS for Data Analyst (224114) and for Data Scientist (224115). Other 224 codes, such as Statistician (224113) and Economist (224311), are assessed by VETASSESS. Always check the assessing authority for your code on the Home Affairs list.

Why can't I get state nomination as a Data Analyst?

Because 224114 is on the CSOL only, and Home Affairs does not list it for the 190 or 491. Those visas use the MLTSSL, STSOL and ROL. The CSOL exists to support employer-sponsored migration (482, 186). If state nomination is essential to your plan, look at whether Statistician (224113), ICT Business Analyst (261111) or Software Engineer (261313) is a genuine fit for your duties.

Is my computer science degree "highly relevant" for ACS Data Analyst?

It can be a weaker match. A pure CS degree may lack the statistics and quantitative analysis content that fits the Data Analyst code. A Master's in data science, analytics, statistics or business analytics layered on top of a CS bachelor usually resolves the question. Some candidates find that switching to a code with a closer field-of-study match — Software Engineer or ICT Business Analyst — produces a stronger assessment outcome.

How long does the 482 actually take for a Data Analyst in 2026?

It depends on salary. For the Core Skills stream (salary between the CSIT, AUD79,423 (from 1 July 2026), and the SSIT), Home Affairs reports 50% of applications processed within 4 months and 90% within 9 months. For the Specialist Skills stream (salary at or above the SSIT), it reports 50% of applications processed within 37 days and 90% within 78 days. Mid-level Data Analyst offers usually trigger Core Skills lodgement; senior and lead roles often qualify for Specialist Skills.

Can I move from a Data Analyst role to a Data Scientist role on the same visa?

On a 482, you're tied to the nominated occupation and employer for the visa period. A role change within the same employer that meaningfully shifts your ANZSCO code may require a new nomination. On a 186 permanent residence visa, you have full work rights — you can change roles freely. Most candidates who plan to move from Data Analyst to Data Scientist roles aim to convert to PR (186 or 191) as quickly as possible to remove the occupational constraint. See the most in-demand occupations guide for related data and ICT codes.