Occupational Summary
A Data technician Level 3 apprenticeship prepares apprentices to source, format and present data securely for analysis using basic methods. Job titles include Data support analyst, Data technician, Junior data analyst and Junior information analyst. Apprentices collect and process structured and unstructured data, blend data from multiple sources as directed, and communicate outcomes appropriate to the audience. They apply legal and ethical principles when manipulating data, maintain awareness of how data was collected and might be used, and work under the guidance of senior colleagues as part of office-based or virtual teams; they may be responsible for their own work and may mentor others.
The programme defines 46 KSBs (knowledge, skills and behaviours), is typically delivered over 24 months and has a maximum funding band of £13,000. End-point assessment for the Level 3 apprenticeship is by scenario demonstration with questioning and a professional discussion underpinned by a portfolio of evidence.
View official Skills England source text
This occupation is found in all sectors where data is generated or processed including but not limited to finance, retail, education, health, media, manufacturing and hospitality. The broad purpose of the occupation is to source, format and present data securely in a relevant way for analysis using basic methods; to communicate outcomes appropriate to the audience; analyse structured and unstructured data to support business outcomes; blend data from multiple sources as directed and apply legal and ethical principles when manipulating data. In their daily work, an employee in this occupation interacts with a wide range of stakeholders including colleagues, managers, customers and internal and external suppliers. They would typically work as a member of a team; this may be office based or virtual. An employee in this occupation will be responsible for collecting and processing data under the guidance of a senior colleague or multiple colleagues across the business. This may vary by sector and size of the organisation. An employee would mainly be responsible for their own work but may have the opportunity to mentor others. An employee needs to have access to data, to understand the importance of data to their organisation and handle it accordingly, with an awareness of how the data was collected and how it is likely to be used. Employees in any data-oriented role should keep abreast of developments in digital technologies such as Internet of Things and Generative Artificial Intelligence , with their implications on data volume and data quality as well as potential uses or mis-uses. A data-focused employee needs to be aware of the potential harm to an organisation's reputation if data is found to be handled inappropriately.
Important Notice
This assessment plan is being revised under the 2025/2026 apprenticeship assessment reforms. It will remain live for delivery until the revised assessment plan comes into effect.
What's in the Delivery Pack?
Every section is tailored specifically to the ST0795 standard, using official KSB data, the published assessment plan, and sector-specific context.
KSB Interpretations
Plain-English interpretation of every Knowledge, Skill and Behaviour
EPA Preparation
End-point assessment readiness, gateway checklist and method guidance
Delivery Risks
Occupation-specific risks, mitigations and early warning signs
Delivery Model Options
Model-selection guide comparing day release, block release and front-loaded approaches
On/Off-the-Job Mapping
Which KSBs are best taught by the provider vs developed in the workplace
Initial Assessment & RPL
Starting points, prior learning recognition and programme adaptation
English, Maths & Digital
Where functional skills embed naturally and standalone qualification guidance
Employer Engagement Guide
Employer commitments, progress reviews and workplace engagement guidance
Get the ST0795 Delivery Guide
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English & Maths
English and maths qualifications must be completed in line with the apprenticeship funding rules .
Typical Job Titles
Knowledge, Skills & Behaviours
Knowledge
26- K1: Types of data, for example, structured, unstructured, qualitative, quantitative, numeric, strings, compound data types.
- K2: Common sources of data, for example, internal, external, open data sets, public and private.
- K3: Data storage formats and their importance for analysis, for example, relational database tables, spreadsheets, bespoke d...
- K4: Data element formats and how their selection can impact precision, analysis and communication, for example, integers, fl...
- K5: How to access and extract data from already identified sources.
- + 21 more items
Skills
16- S1: Select and migrate data from already identified sources.
- S2: Format and save datasets.
- S3: Summarise, analyse and explain gathered data.
- S4: Combine data sets from multiple sources and present in format appropriate to the task.
- S5: Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- + 11 more items
Behaviours
4- B1: Manage own time to meet deadlines and manage stakeholder expectations whether working independently or in a multidiscipl...
- B2: Work independently and methodically.
- B3: Support social inclusion in the workplace. For example consider the needs of the audience.
- B4: Takes responsibility for acting sustainably in their role for example switching off lights and systems when not in use, ...
Duties (11)
select data from a collection of already identified trusted sources in a secure manner
collate and format data to facilitate processing and presentation for review and further advanced analysis by others
present data for review and analysis by others, using required medium for example tables, charts and graphs
combine data from various sources and formats to explore its relevance for the business needs
analyse simple and complex structured and unstructured data to support business outcomes using basic statistical methods to analyse the data.
validate results of analysis using various techniques, for example cross checking, to identify faults in data results and to ensure data quality
communicate results verbally, through reports and documentation and tailoring the message for the audience
store, manage and share data securely in a compliant manner
collaborate with people both internally and externally at all levels with a view to creating value from data
self learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development
follows organisational policies and procedures
End-Point Assessment
Assessment Plan
Type: HTML
Version & Source
- Version
- 1.1
- EPA plan updated and funding band revised
- Last changed
- 19 Aug 2025
- Earliest start
- 19 Aug 2025
- Approved for delivery
- 10 Jul 2020
- EQA Provider
- Ofqual
- Sector Subject Area
- 6.1 Digital technology (practitioners)
- Trailblazer
- TB0417
- Last checked
- 11 Mar 2026
Frequently Asked Questions
What knowledge, skills and behaviours are in the ST0795 standard?▼
The Data technician apprenticeship has 26 knowledge items, 16 skills, and 4 behaviours that apprentices must demonstrate.
How long is the Data technician apprenticeship?▼
The typical duration is 24 months, with a maximum funding band of £13,000.
What does a delivery guide for ST0795 include?▼
The KSB Planner delivery guide includes plain-English KSB interpretations, EPA preparation guidance, delivery risk analysis, on/off-the-job mapping, employer engagement strategies, and more — all tailored to ST0795.
Data sourced from Skills England. KSB Planner delivery guides are an interpretation and planning aid based on official published source material — not an official regulator-issued document.