Data Technician

Data Technician.
Level 3 assessment.

For apprentices who make organisational data usable, accurate and understandable. Data technicians bring together information, format it consistently and present it for further analysis.

ST0795Level 3Planned assessment
ST0795 · Level 3Data Technician preparation focusData & AI · Planned assessment
  1. 01
    Prepare consistent information from permitted sources and record quality issues clearly.Use authentic work to explain decisions and individual contribution.
  2. 02
    Check that a table or report means what its user expects it to mean.Use authentic work to explain decisions and individual contribution.
  3. 03
    Explain data-handling decisions, escalation points and the apprentice’s own contribution.Use authentic work to explain decisions and individual contribution.

Illustrative preparation focus from this guide, not an assessment method sequence or official rubric. Confirm the applicable registered version.

Confirm the route before you plan.

Planned portfolio only. Avenor’s approved scope, applicable standard version, assessor capacity, fees and service dates must be confirmed before booking. The standard’s Skills England approval is not approval of Avenor.

Checked 19 October 2026: version 1.1 is approved for delivery. The assessment plan is being revised under the 2025/2026 reforms; the existing plan remains live until the replacement comes into effect. Confirm the learner’s version.

View the official standard and assessment plan ↗

What this occupation demonstrates

For apprentices who make organisational data usable, accurate and understandable. Data technicians bring together information, format it consistently and present it for further analysis. Their contribution often sits behind the reports that colleagues use every day. Preparation should make that contribution visible: where a dataset came from, what was changed, why the change was necessary and how its quality was checked. A strong learning journey builds careful habits around confidentiality, repeatable processes and clear communication, alongside confident use of relevant workplace tools.

Providers supporting junior data roles, reporting administrators and colleagues who prepare information for analysts and operational teams.

  • Prepare consistent information from permitted sources and record quality issues clearly.
  • Check that a table or report means what its user expects it to mean.
  • Explain data-handling decisions, escalation points and the apprentice’s own contribution.

Prepare for a fair assessment

Use the applicable plan as your starting point. The following are preparation prompts, rather than additional gateway requirements or a substitute for the assessment specification.

  1. Choose workplace examples that reveal the process behind a final spreadsheet or report. Keep a short change log showing corrections, validation checks and unresolved issues.
  2. Practise explaining routine tasks without relying on unexplained jargon. A reviewer should understand why a particular format, formula or check was used and where a supervisor’s advice was needed.
  3. Agree how examples will be anonymised before information leaves the employer. Use synthetic data for practice exercises and retain access permissions for workplace evidence.
Provider buying guide

Plan a useful handover.

Procure this route around dependable data preparation, control and communication at technician level. Before requesting a proposal, sample the work learners really perform: recurring reports, source reconciliation, spreadsheet controls, data imports and user queries. Confirm that employers can release suitably sanitised examples and that supervisors can verify personal contribution. Compare how organisations support cohorts whose assessment plan may change, and assign provider owners for version control, evidence quality and employer follow-up rather than leaving those tasks with one tutor.

A realistic evidence conversation

Illustrative, not a prescribed requirement: a weekly report contains duplicate customer rows and inconsistent date formats. The apprentice records the source files, creates a repeatable cleaning sequence, flags records that cannot be resolved, validates totals against an agreed control and explains the corrected output to its user. The example includes a short change log and supervisor confirmation but no live personal data. Use this scenario to ask how an assessment partner would accept files, verify authenticity and handle a query without rewarding presentation polish over a controlled process.

Handover checks

  1. Curriculum owner confirms that learning covers source controls, quality checks and clear escalation.
  2. Employer supervisor identifies routine tasks where the apprentice can evidence their own decisions.
  3. Data-protection owner approves anonymisation, access and retention before any evidence is transferred.

Questions to ask before buying

  • What evidence formats can you receive securely when the employer cannot release operational datasets?
  • How will you distinguish technician-level control and explanation from higher-level analytical work?
  • How are providers told when the revised plan becomes applicable to new starts?
Original preparation material

Think it through.
Explain your decisions.

These are original learning prompts. They are not live assessment questions, an official mock paper or a prediction of your result.

1. You receive a file with dates in three different formats. What would you do before combining it with another file?

Explore a response structure

Explain how you would inspect the values, check regional conventions and identify ambiguous dates. Describe a controlled conversion and validation step. Keep the source intact and record exceptions instead of silently guessing what an unclear date means.

2. A report contains fewer records than the source system. How would you check the difference?

Explore a response structure

Consider filters, duplicate removal, blank identifiers, failed imports and date ranges. Reconcile counts at each transformation stage. Explain when you would pause distribution and ask the report owner to confirm the intended scope.

3. What makes a handover useful to the next person using your data?

Explore a response structure

Discuss field definitions, source dates, refresh instructions, known quality issues and access restrictions. Explain how you would check that the recipient understands the limitations. Include one practical example of a misleading field name and how you would clarify it.

Open practice studio

Questions about this standard

Do apprentices need to use a particular spreadsheet product?

Prepare through the tools used legitimately in the role and check the assessment plan for any assessment environment requirements. Familiarity with a product should support reliable data work rather than replace understanding of the process.

Which assessment methods apply?

Use the published assessment plan for the apprentice’s registered version and option. Methods, timings, gateway documents and grading rules can differ between versions. These original practice prompts are learning resources, not live assessment questions or a prediction of an assessment outcome.

Can we book with Avenor?

This standard is in Avenor’s planned portfolio. Ask us to confirm our approved scope, the applicable version, assessor capacity, fees and dates before making a booking. Publication of this guide does not establish Avenor approval.

Sources and review

Guide updated 20 October 2026; official source reviewed 20 October 2026. Standard titles, versions and requirements can change. Always check the linked official record for the apprentice’s start date.

Skills England: Data Technician ↗

6,160 starts in 2023/24, published in the ICT-related apprenticeship data. Historic starts inform our portfolio; they do not establish today’s demand or our availability.