ANZSCO 224114 Data Analyst

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ANZSCO Code

ANZSCO 224114 Data Analyst

A Data Analyst gathers, examines, and interprets data to support decision-making in business. They verify data accuracy, identify patterns, and communicate insights through reports and dashboards, enabling organizations to recognize opportunities and mitigate risks.

Skill Level

Level 1 or Equivalent

Specializations

Business Intelligence Analyst, Data Visualisation

Skills Assessment Authority

ACS (Australian Computer Society)

ACS RPL writing for Data Analyst

Visa Program Eligibility

Because 224114 is featured on the Core Skills Occupation List (CSOL), its immigration pathways provide excellent access to both permanent residency and priority employer-sponsored streams:

Eligible Visas:

Subclass 186 (Employer Nomination Scheme - Direct Entry PR)
Subclass 482 (Skills in Demand - Core Skills Pathway)
Subclass 190 (Skilled Nominated PR)
Subclass 491 (Skilled Work Regional - State Nominated)
Subclass 494 (Skilled Employer Sponsored Regional)
Subclass 407 (Training Visa)

Ineligible Programs & Streams:

Subclass 189 (Skilled Independent) — Excluded from Strategic Skills list invitations
Subclass 482 (Skills in Demand - Short-Term Stream) — Replaced by Core Skills Pathway
Subclass 489 / Subclass 187 (RSMS) — Closed permanently to all new applications

Closely Related Core Data Units

Data Collection and Management
Data Cleaning and Preparation
Data Analysis and Statistics
Data Visualization
Database Design and Management
Business Intelligence (BI)
Predictive Analytics
Programming for Data Analysis

Additional Closely Related Core Data Units

Data Warehousing
ETL (Extract, Transform, Load) Processes
Data Mining
Advanced Statistical Methods
Data Governance and Quality Assurance
Geospatial Analysis
Machine Learning Fundamentals
Big Data Technologies

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Unit Group: 2241 Data Analyst

A role of data analyst is essential in gathering, analysing, and interpreting data to aid organisations in making decisions. They utilise data visualisation tools to develop reports and dashboards that effectively present insights in a clear and actionable manner.

Skill Level

Most occupations in this unit category require expertise equivalent to a bachelor’s degree or higher. In place of a formal qualification, at least five years of relevant experience and/or an equivalent vendor certification may be accepted. In some cases, alongside the official qualification (ANZSCO Skill Level 1), relevant experience and/or on-the-job training may also be required.

Navigating the Data Analyst Pathway in Australia

Aligning your career path with quantitative analytics and predictive modeling provides an exceptional advantage for long-term migration planning. As business landscapes rely heavily on intelligence architectures, this specialized field remains a highly sought-after australia skilled occupation across the modern technical sector. The profile is fully integrated into the active australia skilled migration list, the australian immigration skills list, and the general skilled employment list.

While discovering the position on the open skill list australia or the broader australia skilled occupation list is an excellent first step, advancing your journey requires a formal validation process. Before you can lodge your formal visa application or finalize your pathway strategy, your quantitative and technical credentials must be verified to satisfy mandatory visa requirements.

Securing Your Skills Assessment for Migration Success

Depending on your specific academic background, preparing a comprehensive CDR for Data Analyst can serve as the baseline of your submission. This report maps out your analytical interventions, information design validation, and statistical frameworks to align with the protocols governed by the skill occupation list australia framework.

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Profile Overview

Skill Level Level 1 (Bachelor or Higher)
Assessing Authority Australian Computer Society (ACS)
Unit Group 2241 Mathematical Science Professionals
Related Occupations 224111, 224112, 224113
Occupation List Core Skills List (CSOL)

Skills Assessment English Criteria

IELTS (General / Academic) Min 6 (L,R,W), 7 Speaking, 7 Overall
PTE Academic Min 50 (L,R,W), 65 Speaking, 65 Overall
TOEFL iBT Total 93 (L:12 | R:13 | W:21 | S:23)
OET Option Minimum Grade B in all sections
Passport Exemptions UK, USA, Canada, NZ, Ireland

Occupations in this Group

224111 Actuary
224112 Mathematician
224113 Statistician
224114 Data Analyst

Tasks to Perform

Setting up secure workflows and database processes to safely collect, store, process, and validate large organizational data assets.
Evaluating the accuracy, integrity, and operational reliability of data sources using rigorous data cleansing and filtering protocols.
Analyzing and interpreting highly complex business datasets to produce descriptive, predictive, and diagnostic statistics that infer long-term operational patterns.
Applying modern data analytics techniques and deploying interactive data visualization dashboards to deliver clear business intelligence to company stakeholders.
Preparing data presentations and comprehensive technical analytical reports to communicate core insights that directly support executive decision-making.
Executing strict data management processes to verify that information assets are processed ethically and in alignment with corporate governance mandates
Writing custom queries, statistical algorithms, and data processing scripts in programming languages like SQL, Python, or R to handle complex analytical queries.

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RPL FAQs

We have similar questions come our way all the time. Therefore, such frequently asked topic and questions are clearly answered below.

What is ACS RPL for ANZSCO 224114 – Data Analyst?
ACS RPL (Recognition of Prior Learning) is an assessment pathway provided by the Australian Computer Society for ICT professionals applying under ANZSCO 224114 – Data Analyst who do not hold an ICT-major or closely related qualification. This pathway allows applicants to demonstrate their data analysis skills and knowledge through professional experience and project evidence rather than relying solely on formal education. It validates the applicant’s ability to collect, process, analyze, and present data using tools and methodologies aligned with Australian ICT standards.
Who should apply through the ACS RPL pathway?
The ACS RPL pathway is suitable for Data Analysts who hold a non-ICT or partially ICT-related qualification, or those with overseas qualifications not assessed as ICT-major. Applicants must have relevant professional experience in data analysis, including data collection, data cleaning, statistical analysis, reporting, dashboard development, and data visualization aligned with the duties of ANZSCO 224114.
Is ACS RPL mandatory for Data Analysts?
No, ACS RPL is not mandatory for all Data Analysts. It is only required if an applicant does not meet the ACS educational requirements for the standard pathway. Applicants who hold an ICT-major qualification may be assessed through the standard ACS skills assessment pathway instead. Choosing the correct pathway depends on your academic background and the relevance of your qualification to ICT.
What is the structure of an ACS RPL report for Data Analyst?
An ACS RPL report consists of Key Areas of Knowledge (KAoK) responses and two detailed Project Reports. The KAoK section evaluates both core ICT knowledge and specialised data analysis knowledge, while the project reports demonstrate practical, real-world experience in working with data, using analysis tools, and producing business insights. Together, these components must prove that the applicant possesses skills and knowledge equivalent to a formal ICT qualification relevant to Data Analyst (ANZSCO 224114).
What documents are required for the ACS RPL assessment?
The documents commonly required for ACS RPL include a completed ACS RPL report (with KAoK responses and project reports), employment reference letters, a detailed CV outlining data analysis responsibilities, academic certificates and transcripts if applicable, passport and identity documents, and English language test results if required. Providing clear, consistent, and verifiable evidence is crucial for a successful assessment.
What are the Key Areas of Knowledge (KAoK) for Data Analyst?
For Data Analyst (ANZSCO 224114), the KAoK section assesses core ICT knowledge as well as specialised data analysis knowledge. Applicants must demonstrate understanding of data structures, databases, data cleaning, statistical analysis, data modeling, visualization techniques, and reporting tools. Responses should show theoretical understanding as well as practical application in real workplace scenarios.
How detailed should ACS RPL project reports be?
Project reports must be detailed and clearly describe the project objectives, business context, and your individual role as a Data Analyst. They should explain tasks such as data collection, data cleaning, analysis methodologies, tools used (such as SQL, Python, R, Power BI, Tableau, Excel), and outcomes achieved. Reports should be written in the first person and focus on the applicant’s personal contributions, highlighting problem-solving and data-driven decision-making.
Is English language proficiency required for ACS RPL?
Yes, English language proficiency may be required for ACS RPL unless exemptions apply based on nationality or education history. ACS guidelines outline specific exemptions for applicants from certain English-speaking countries or those who have completed education in English. Applicants should check the ACS requirements carefully to confirm if they need to provide test results.
Can freelance or self-employment experience be used for ACS RPL?
Yes, freelance or self-employed Data Analyst experience is acceptable if it is supported by strong evidence. This may include client contracts, invoices, payment records, client reference letters, and detailed project documentation that clearly outlines your role and responsibilities. The experience must be verifiable and aligned with ANZSCO 224114.

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