Unleash Your Potential as Data Analyst (ANZSCO 224114)
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Data Analyst - ANZSCO 224114
A Data Analyst (ANZSCO 224114) collects, processes, and performs statistical analyses on complex datasets to assist organizations in optimizing systems, operations, and business performance.
Skill Level: Level 1 or Equivalent (AQF Bachelor Degree or higher qualification)
Skills Assessment Authority: VETASSESS / ACS (Australian Computer Society)
Alternative Titles: Business Intelligence Analyst, Data Modeler
| ANZSCO Code | Skill Level | Assessing Authority | Occupation List Status |
|---|---|---|---|
| 224114 | Skill Level 1 or Equivalent | VETASSESS / ACS | Short-Term Skilled Occupation List (STSOL) / Combined List (STSOL MLTSSL) |
| Occupation on the skill list | Occupation not on the skill list |
|---|---|
| Combined Skilled Occupations List (STSOL MLTSSL) | Labor Market Testing Required for 457 List (LMTL) |
| Short-Term Skilled Occupation List (STSOL) | Medium Long Term Strategic Skills List (MLTSSL) |
| Labor Market Testing Required for 457 List (LMTL) | — |
Applicants seeking migration under ANZSCO 224114 can access state-nominated and regional visa categories available under the Short-Term Skilled Occupation List (STSOL):
- Skilled Nominated Subclass 190
- Skilled Work Regional (Provisional) Subclass 491
- Employer-sponsored streams (for qualified applicants holding eligible job offers in Australia)
- 224111 Actuary
- 224112 Mathematician
- 224113 Statistician
- 224114 Data Analyst
Occupations in this unit group generally demand qualifications equivalent to a bachelor's degree or higher in a relevant quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Data Science). Relevant professional experience and technical certifications may complement formal academic credentials (ANZSCO Skill Level 1).
Data Analysts transform raw measurements and operational data into actionable insights through statistical methodologies, automated reporting dashboards, data modeling, and predictive analytics tools.
- Identifying data requirements and designing extraction, transformation, and loading (ETL) routines.
- Applying statistical algorithms and data mining techniques to identify trends and operational patterns.
- Developing automated dashboards and visualization tools to convey business intelligence to stakeholders.
- Cleansing and validating raw datasets to ensure data integrity and security compliance.
- Collaborating with management and technical teams to convert analytical discoveries into strategic solutions.
- Applied Statistics & Probability
- Data Analytics & Business Intelligence
- Data Mining & Pattern Recognition
- Predictive Modeling
- Quantitative Research Methods
- Database Management Systems (SQL / NoSQL)
- Data Warehousing & ETL Frameworks
- Big Data Processing Technologies
- Information Systems Analysis
- Machine Learning Fundamentals
| Language Test Option | Minimum Score Standard |
|---|---|
| IELTS Academic / General | Listening: 6.0 | Reading: 6.0 | Writing: 6.0 | Speaking: 7.0 (Overall: 7.0) |
| PTE Academic | Listening: 50 | Reading: 50 | Writing: 50 | Speaking: 65 (Overall: 65) |
| TOEFL iBT | Listening: 12 | Reading: 13 | Writing: 21 | Speaking: 23 (Overall: 93) |
| OET | Minimum Grade B across all components |
- Australian graduate exemptions may apply in specific states or territories.
- State and territory priority occupation lists may apply specialized nomination criteria.
- Passport holders from the UK, USA, Canada, New Zealand, and Ireland are exempt from mandatory English language exams unless required by specific assessment authorities.