Data Analyst Visa Pathway to Australia: Complete 2026 Guide
Updated: 13 May 2026
Australia classifies Data Analyst under ANZSCO 224114. VETASSESS is the designated assessing authority, not ACS — a frequent surprise for ICT candidates. 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
| Detail | Information |
|---|---|
| ANZSCO Code | 224114 (Data Analyst) |
| Skill Level | 1 (Bachelor degree or higher) |
| Skills Assessment | VETASSESS (not ACS) |
| Occupation List | CSOL only — not on MLTSSL or STSOL |
| Visa Options | 482, 186 (employer-sponsored only) |
| Demand Level | High — 23.2% forecast workforce growth over 5 years |
| Salary Range | AUD $95,000-$140,000 (SEEK, May 2026) |
| Typical Stream | 482 Core Skills or Specialist Skills depending on seniority |
| Key Challenge | CSOL-only listing closes 189/190/491 points-tested pathways |
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 and assessed by ACS; Data Analyst is data-led and assessed by VETASSESS.
- 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 assessing body and the visa pathways differ. See the related Data Scientist & AI Specialist guide for how data scientists typically map to 261313, 261111 or 224113 rather than 224114.
Skills Assessment — VETASSESS
VETASSESS is the designated assessing authority for Data Analyst (224114). This is the most common misconception for ICT-background candidates, who assume ACS handles all data-related occupations. ACS does not assess 224114.
Eligibility — Data Analyst (Professional pathway, Group A or B)
- A qualification assessed as comparable to the educational level of an Australian Qualifications Framework (AQF) Bachelor degree or higher in a highly relevant field (statistics, mathematics, economics, computer science, data science, business analytics)
- At least 1 year of post-qualification employment at an appropriate skill level in the last 5 years (where qualification is highly relevant)
- Where qualification is relevant but not highly relevant, longer experience is required
VETASSESS assesses both the level and the relevance of your qualification, the field of study, and your employment in equal weight. Where your formal qualification is below AQF Bachelor, additional relevant work experience may compensate.
Assessment cost (2026):
- Full skills assessment: AUD $1,070 (effective from November 2024 indexation)
- Priority processing: additional AUD $500-$800
- Reassessment: AUD $520.30
Processing time: 8-12 weeks standard; priority processing approximately 20 business days.
Common rejection reasons:
- Field-of-study mismatch — A computer science degree may be assessed as "relevant" rather than "highly relevant" for Data Analyst because the curriculum focuses on software engineering, not statistical analysis. Highly relevant degrees centre on statistics, data science, business analytics, mathematics or econometrics.
- Employment evidence that reads as Business Analyst or Software Engineer rather than Data Analyst. VETASSESS reads 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: AUD $3,210 (primary applicant, all streams)
- Core Skills Income Threshold (CSIT): AUD $76,515 until 30 June 2026, rising to AUD $79,499 from 1 July 2026
- Specialist Skills Income Threshold (SSIT): AUD $141,210 until 30 June 2026, rising to AUD $146,717 from 1 July 2026
- Processing: Core Skills up to 8 months (90th percentile, April 2026); Specialist Skills median 7 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 with its 8-month processing tail. Senior Data Analyst and Lead Analyst roles in financial services and consulting routinely clear the SSIT and qualify for the 7-day Specialist Skills queue.
Subclass 186 — Employer Nomination Scheme
Permanent residency through employer sponsorship.
- Visa fee: AUD $4,910
- Streams: Direct Entry (positive VETASSESS assessment + 3 years post-qualification experience) or Temporary Residence Transition (after 2 years on a 482)
- SAF levy: $3,000 or $5,000 per year, paid by the employer
- Processing: Direct Entry typically 6-12 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?
State nomination programmes nominate occupations that sit on the MLTSSL or STSOL. Data Analyst (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:
- 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.
- 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
| Role | Typical Salary Range |
|---|---|
| Junior Data Analyst | AUD $75,000-$90,000 |
| Data Analyst (mid) | AUD $95,000-$115,000 |
| Senior Data Analyst | AUD $115,000-$140,000 |
| Lead Data Analyst / Analytics Manager | AUD $140,000-$170,000 |
| BI Developer / Analyst | AUD $100,000-$130,000 |
| Analytics Engineer (dbt + SQL) | AUD $120,000-$160,000 |
| Head of Analytics | AUD $170,000-$220,000+ |
| Contract Day Rate (mid-senior) | AUD $700-$1,100/day |
Source: SEEK Career Advice (May 2026, $95k-$115k average), PayScale Australia 2026, AcademyXi 2026 Market Update, Glassdoor Australia 2026.
Total package includes superannuation at 11.5%, 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 VETASSESS is the right assessing body for your situation
Many candidates assume ACS handles all data work because ACS covers ICT codes. For 224114 specifically, VETASSESS is the designated authority. ACS will not accept a 224114 application. 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
VETASSESS 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 is often assessed as "relevant" rather than "highly relevant" for Data Analyst, which can lower the assessment outcome. 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 (above SSIT $141,210 / $146,717 from July 2026) is processed in 7 days median versus 8 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
- 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
- Compile references describing data analysis duties (not ETL development or requirements work)
- Sit your English test if not already done — IELTS 6.0 each band is the minimum, but English is required for the visa
- Lodge VETASSESS assessment ($1,070 full assessment) — 8-12 weeks standard
- Search for Australian employers willing to sponsor a 482 — financial services, consulting, retail and tech are the main markets
- Negotiate offer including visa sponsorship and SAF levy
- Employer lodges 482 nomination + you lodge visa application
- Submit health checks and police clearances
- Receive visa grant and relocate
- After 2 years on a 482 with the same employer, transition to 186 permanent residency through Temporary Residence Transition stream
- Alternatively, qualify for Direct Entry 186 from day one if you have a positive VETASSESS assessment and 3 years' post-qualification experience
- Apply for Australian citizenship after 4 years of residence (1 year as PR)
Frequently Asked Questions
Why is Data Analyst assessed by VETASSESS instead of ACS?
ANZSCO 224114 sits in the "Information and Organisation Professionals" major group rather than the ICT major group. ACS's remit is the 261xxx and 135xxx codes, plus a handful of related codes. The 224xxx codes — including Data Analyst, Statistician (224113) and Economist (224311) — are assessed by VETASSESS. The minister for immigration designates the assessing authority for each ANZSCO code, and these designations rarely change.
Why can't I get state nomination as a Data Analyst?
Because 224114 is on the CSOL only. State nomination programmes draw exclusively from the MLTSSL and STSOL. The CSOL exists to support employer-sponsored migration (482, 186) and was created when the Skills in Demand visa replaced the TSS visa in late 2024. 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 VETASSESS Data Analyst?
Often it's assessed as "relevant" rather than "highly relevant". A pure CS degree typically lacks the statistics and quantitative analysis content that VETASSESS expects for 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. The Core Skills stream (salary between CSIT and SSIT, roughly $76,515-$141,210 until 30 June 2026) is taking up to 8 months at the 90th percentile. The Specialist Skills stream (salary above SSIT) has a 7-day median processing time. 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.
