OSCA occupation

223231 Data Analyst

Gathers, processes, analyses and interprets data using data analytical tools. Communicates findings through reports and data visualisations, such as charts and infographics.

Major group: 2 Professionals
Unit group: 2232 Data Professionals
Edition: OSCA 2024
Skill level: Level 1

Should you use OSCA or ANZSCO?

OSCA 2024 is the current Australian occupation classification for storing, organising and reporting occupation information. Use this OSCA record for current Australian statistical and analytical classification work.

Some migration and administrative programs still specify ANZSCO 2022. Check the exact system named by the agency or form rather than replacing the code automatically.

Check the current ABS guidance on OSCA and ANZSCO use

Official ANZSCO correspondence

ANZSCO 224114 Data Analyst Exact correspondence in the ABS table

Role overview

Gathers, processes, analyses and interprets data using data analytical tools. Communicates findings through reports and data visualisations, such as charts and infographics.

Use this page to confirm the official title, the parent unit group, the task list and the related ANZSIC industry context before using the occupation in classification, reporting or migration-adjacent workflows.

Occupation facts

Skill level: 1
Major group: 2 Professionals
Sub-major group: 22 Business Professionals
Minor group: 223 Information and Organisation Professionals
Unit group: 2232 Data Professionals

Tasks

Sets up processes to securely collect, store, process and validate data
Evaluates the accuracy and reliability of data
Analyses and interprets data to produce relevant statistics to describe and infer trends and patterns, solve problems and answer data-related queries
Applies data analytics and visualisation techniques to gain business insights
Prepares presentations and/or writes reports to communicate findings and support strategic decision-making
Implements and/or follows data management processes to ensure data is used ethically and in compliance with data governance standards and strategies
May write custom scripts and code in programming language to conduct analytical tasks

Skill level guidance

Skill level helps place the occupation inside the ABS hierarchy. Use it as a classification cue, then check the actual task list and occupational context before making a decision for HR, visa or reporting work.

How to use this occupation page

Start with the official OSCA title and task list. Then confirm the parent unit group and compare the related occupations on this page if the job title is broad, overlapping or used differently across employers.

The ANZSIC links are there to help when the same occupation appears across several industries and you need the business-side classification as well.

Related occupations

Industry context

Alternative titles

No alternative titles are currently attached.

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Compare OSCA 223231 with related occupations

Compare roles in the same OSCA unit group by their official definition, skill level, tasks and recognised alternative titles.

Comparison point	Current code223231 Data Analyst	223232 Data Architect	223233 Data Engineer
Official role definition	Gathers, processes, analyses and interprets data using data analytical tools. Communicates findings through reports and data visualisations, such as charts and infographics.	Designs, develops and manages complex data models within an organisation.	Designs, builds, operationalises and maintains the systems and processes for storing, transforming and analysing datasets.
Skill level	Skill Level 1	Skill Level 1	Skill Level 1
Key tasks	Sets up processes to securely collect, store, process and validate data Evaluates the accuracy and reliability of data Analyses and interprets data to produce relevant statistics to describe and infer trends and patterns, solve problems and answer data-related queries Applies data analytics and visualisation techniques to gain business insights	Develops and maintains a data architecture strategy aligned with business objectives and data management principles Assesses appropriate technologies for data management, storage, analysis and disposal for the organisation Designs conceptual data models and implements metadata standards to provide a clear understanding of organisational data assets Defines data flow, data usage and data integration processes within an organisation	Builds, tests and maintains data pipelines to support analytics and data processing systems Develops and optimises processes and tools for data extraction, transformation and loading Identifies, designs and implements process improvements, including automating manual processing, optimising data delivery, and redesigning infrastructure for optimum scalability Implements secure data handling and storage procedures, protects data privacy, and ensures compliance with regulations and best practices

Comparison uses occupation definitions, skill levels, tasks and title variants from the ABS OSCA data files.

In this section

Official source

Official source: ABS OSCA 2024 release and correspondence tables
Last reviewed: 2026-04-17

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