Statistician 224116: choose the right code version
Statistician 224116 is the ANZSCO 2022 code for work that designs and applies statistical principles to collect, organise, analyse and interpret quantitative data. Typical outcomes include statistical reports and analyses for government, health, research or commercial decision-making.
The occupation is distinguished by statistical methodology and inference. A role dominated by dashboards and data preparation may fit Data Analyst 224114, while one centred on advanced algorithms and machine-learning models may fit Data Scientist 224115.
What the occupation covers
- defining data requirements and collection or sampling methods;
- evaluating the reliability and usefulness of source data;
- selecting and applying statistical models and techniques;
- interpreting patterns, relationships and uncertainty; and
- communicating statistically supported findings and limitations.
VETASSESS assesses both 2013 and 2022 classifications
VETASSESS's Statistician page shows code 224113 for ANZSCO 2013 and 224116 for ANZSCO 2022. Applicants must use the classification required by the intended visa instrument rather than assuming the two codes are interchangeable.
Statistician is a Group A occupation. The current 2022 guide requires a bachelor-level or higher qualification in a highly relevant field and relevant employment. Statistics, mathematical statistics, biostatistics and mathematics are identified fields; degrees such as data science, computer science, economics or epidemiology are considered case by case when the course contains sufficient statistical study.
What the current 224116 list results mean
The page shows 224116 against both MLTSSL and CSOL data, which produces broad occupation-list matches across the displayed skilled and employer-sponsored pathways. The code-version issue remains important: employer-sponsored instruments using ANZSCO 2022 identify Statistician as 224116, while older points-tested instruments can use the 2013 classification.
A green result cannot resolve a mismatch between the code on a skills-assessment outcome and the code required by a visa instrument. Confirm the applicable ANZSCO edition before applying or seeking an updated assessment.
Common mistakes to avoid
- Using 224113 or 224116 without checking which ANZSCO edition the visa pathway specifies.
- Choosing Statistician for general data reporting, dashboard work or machine-learning engineering with limited statistical methodology.
- Assuming a quantitative degree is highly relevant without enough statistics subjects.
- Treating list membership as proof that an older skills-assessment code will be accepted for a current pathway.