Data Technician

Build the practical data skills that every organisation needs — from collection and storage through to analysis and visualisation

Calculate your ROI Career family: Data & AI

Your Journey

Your journey starts here

Journey overview

This structured pathway combines theoretical knowledge with practical experience, preparing you for real-world impact in your field.

What you'll get

Accredited Level 3 qualification aligned to industry standards

Who it's for

This programme suits anyone at the start of their career who wants to work with data professionally but is not yet ready — or does not need — a degree-level route. It is equally well suited to people moving into a data-focused role from another part of the business, such as administration or operations, where they already handle data informally. No prior technical experience is required, though comfort with numbers and an interest in problem-solving will help you get the most from it.

Career progression

Completing this apprenticeship positions you for roles such as Data Analyst, Business Intelligence Analyst or Reporting Analyst, typically with a salary uplift from the apprenticeship wage to a graduate-equivalent starting point. From there, clear progression routes lead to senior analyst and data engineer positions, or into further study such as a Level 4 Data Analyst apprenticeship or a degree-level programme in data science or business intelligence.

Overview

About this programme

Data sits at the heart of how modern organisations make decisions, and someone has to make sure it is collected, stored, cleaned and ready to use. That is exactly what a Data Technician does. This Level 3 apprenticeship gives you hands-on grounding in the full data workflow: sourcing data from internal and external systems, formatting it to consistent standards, combining datasets from multiple sources, and presenting findings in a way that different audiences can actually act on.

You will develop fluency with the tools that data teams rely on every day — spreadsheets, SQL, Power BI and data blending platforms — while also learning the legal and ethical framework that governs responsible data use, including GDPR and data protection legislation. Alongside technical skills, the programme builds the professional habits that employers value: working methodically, documenting your work clearly, and communicating clearly to both technical and non-technical colleagues.

This is the recognised entry route into the UK data profession. It sits below degree-level Data Scientist or Data Engineer roles by design — the goal is mastery of the fundamentals rather than advanced modelling or machine learning. Completing this apprenticeship gives you a credible, employer-validated credential and a strong platform to specialise further.

Partners

Accredited Providers

Choose from 1 leading providers offering this programme across the UK.

Apprentify Limited

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Learning

What You'll Learn

Learning Outcomes

Select, extract and migrate data from identified sources using appropriate tools and methods

Clean and validate datasets by identifying gaps, duplicates, outliers and inconsistencies across data elements

Combine data from multiple sources and present it in formats suited to the task and audience

Apply basic statistical methods to identify trends, patterns and percentage contributions within structured and unstructured data

Store, manage and distribute data in compliance with GDPR, the Data Protection Act and relevant organisational standards

Produce clear documentation of data actions and communicate findings effectively to both technical and non-technical stakeholders

Tech Industry Gold

Employer-Led Learning Outcomes

These learning outcomes are employer-led, not created in isolation. They're reviewed regularly by our specialist employer panel, so every accredited course keeps pace with what the tech industry genuinely needs.

Development

What You'll Develop

Key Skills

Sourcing and extracting data from multiple systemsCleaning, validating, and auditing datasets for qualityCombining and blending data from disparate sourcesBuilding reports and dashboards using Power BI and ExcelApplying GDPR and data protection principles in practiceCommunicating data findings to technical and non-technical audiences