The title Data Analyst is only a starting point. Code 212004 places the role in Mathematicians, actuaries and statisticians, while responsibility for “Collect, review, clear and manage the databases” reveals the work a candidate should test and explain.
Official title: Data Analyst
Occupation code: 212004
Mahana sector: Data and artificial intelligence
Official unit group: Mathematicians, actuaries and statisticians
How to read the Data Analyst responsibility
A practical fit signal for Data Analyst is the ability to explain the path from “Collect, review, clear and manage the databases” to a reviewable output, including where Data collection is applied and where supervision or escalation is needed.
Do not assume every employer means the same thing by Data Analyst. Check seniority, supervision, the effect of mistakes, and whether Data modelling is an entry requirement or developed after appointment.
Read “Data Analyst”, occupation code 212004, as a map of questions rather than an employment promise: compare the recorded task with an output you can test, and state what you can evidence versus what requires supervision or registration. For Data Analyst, employers divide work differently, so the current vacancy and competent authority remain newer than a general description.
Official scope and recorded tasks
Official summary: Collect, process and present the data in a variable set of forms and formats; develop new processes for data analyzing; and provide the advice on data processing.
Recorded tasks
- Collect, review, clear and manage the databases; cooperate with product engineers, researchers and specialists to identify any relevant problems.
- Develop the statistical algorithms and forms; conduct the appropriate statistical analysis; and interpret the results.
- Prepare the reports, charts and graphs to share the outcomes and analyses; and employ them in the process of decision making.
- Analyze data processing and collecting operations at facility; identify the opportunities of improvement; and provide advice on the course of action of research personnel.
- Maintain the technical expertise; update the knowledge on a continuous basis; and study the specialized publications.
Skills in working context
- For Data Analyst, connect Data collection to a situation involving “Collect, review, clear and manage the databases”, then state the acceptance test and who reviewed the result.
- Do not list Data modelling alone in an application for Data Analyst; show how it changed a decision or output during “Develop the statistical algorithms and forms” and what evidence remained.
- Use an example from Data Analyst work for code 212004 that connects Data processing and analysis to “Prepare the reports, charts and graphs to share the outcomes and analyses”, separates your contribution from the team result, and names the decision you owned.
- Do not list Data analysis alone in an application for Data Analyst; show how it changed a decision or output during “Analyze data processing and collecting operations at facility” and what evidence remained.
In a shared Data Analyst example, use Team Work, Ability to build relationships, Analytical Thinking to explain coordination, then identify your own decision instead of claiming the whole team result.
A contained evidence project
Turn interest in the Data Analyst path into an assessable trial. The project should connect Data collection with “Develop the statistical algorithms and forms” and show an initial version, reviewer challenge, and corrected version: Test the Data Analyst workflow through this contained case: Use a public dataset to clean fields, define two decision questions, build a small analysis or dashboard, and explain one limitation that affects interpretation. Make Data collection and the review boundary visible.
- Data Analyst evidence: For Data Analyst, decision-focused chart or table linked to “Develop the statistical algorithms and forms”
- Data Analyst evidence: A working output showing how Data collection supports “Collect, review, clear and manage the databases”
- Data Analyst evidence: A code-212004 review note that records one challenge, correction, and remaining limit
Pitfall to avoid: In a case involving Data Analyst, presenting attractive charts without defining the question, data quality checks, or decision relevance. This hides whether Data collection was used responsibly.
Methods or tools that may appear
- Data collection
- Data modelling
- Data processing and analysis
- Data analysis
- Research
Check a vacancy for Data Analyst before applying
Begin with vacancy responsibilities, not keyword count. For Data Analyst, identify what the employer expects during “Develop the statistical algorithms and forms” and how that capability will be assessed.
- Identify the output that demonstrates Data collection and the person or standard that approves it.
- For the Data Analyst vacancy under code 212004, map one line to “Develop the statistical algorithms and forms” and prepare a truthful example you can explain under questions.
- For Data Analyst, code 212004, confirm whether Bachelor degree is an employer or regulator minimum and what supervision applies at entry level.
Qualification and practice boundaries
Qualification in the classification data: Bachelor degree
- Statistics
Questions to test career fit
- Would I enjoy repeating “Collect, review, clear and manage the databases” in day-to-day Data Analyst work, not only once in a practice project?
- For the Data Analyst path under code 212004, can I build evidence for Data collection that shows the decision and check, or am I mainly attracted to the name of Data and artificial intelligence?
- What qualification, registration, supervision, or employer requirement currently applies to responsibilities under code 212004?
- Which part of the Data Analyst evidence project will I test first, and what result would make me continue or change direction?
Frequently asked questions about this occupation
Would I enjoy repeating “Collect, review, clear and manage the databases” in day-to-day Data Analyst work, not only once in a practice project?
Test “Collect, review, clear and manage the databases” in the proposed project and retain the inputs, working output, and review note. One useful completion artefact is: For Data Analyst, decision-focused chart or table linked to “Develop the statistical algorithms and forms”.
For the Data Analyst path under code 212004, can I build evidence for Data collection that shows the decision and check, or am I mainly attracted to the name of Data and artificial intelligence?
Use Data collection in this bounded exercise: Test the Data Analyst workflow through this contained case: Use a public dataset to clean fields, define two decision questions, build a small analysis or dashboard, and explain one limitation that affects interpretation. Make Data collection and the review boundary visible. Then record what changed after review and what remains untested.
What qualification, registration, supervision, or employer requirement currently applies to responsibilities under code 212004?
Before deciding on Data Analyst, turn the practice boundary above into a code-212004 checklist: competent authority, qualification or registration, supervision, employer authority, and the linked primary source.
Which part of the Data Analyst evidence project will I test first, and what result would make me continue or change direction?
Continue if you can perform “Collect, review, clear and manage the databases” and explain the check and correction; reconsider if this problem remains unresolved: In a case involving Data Analyst, presenting attractive charts without defining the question, data quality checks, or decision relevance. This hides whether Data collection was used responsibly.
Sources and page limits
Keep the official code-212004 record separate from the editorial examples. Confirm current licensing, registration, and employment requirements with the competent authority and the actual vacancy.
Package data check: 2026-10-07.
