Data is central to modern organisations across sectors including healthcare, education, finance, retail, manufacturing, hospitality and defence. Employers increasingly rely on data to improve services, make informed decisions and identify opportunities for growth.
As AI, automation and digital technologies transform the workplace, employers need people who can work confidently with data and understand its ethical, legal and commercial implications.
Data Technicians turn raw data into meaningful information. They source, organise, validate and present data to support decision-making, improve performance and solve business challenges.
During this apprenticeship, learners build the technical, analytical and professional skills to collect, cleanse, analyse and visualise data, apply governance and security principles, and communicate insights clearly. They also explore emerging technologies including AI, Generative AI and the Internet of Things.
Key responsibilities
- Source and access data from trusted internal and external sources
- Collect, organise and validate data for analysis
- Cleanse and prepare datasets to improve quality and reliability
- Analyse data to identify trends, patterns and insights
- Create reports, dashboards, charts and visualisations
- Communicate findings to technical and non-technical audiences
- Store, manage and share data securely
- Apply legal, ethical and organisational standards when handling data
- Collaborate with colleagues and stakeholders to support business objectives
- Keep up to date with developments in data, AI and digital technologies
Programme length
24 months
Independent learning
1-2 hours per week
Off-the-job training
6 hours per week
Assessment organisation
TBC
Delivery model
Cohorts scheduled throughout the year
I'm really enjoying my apprenticeship, meeting other colleagues that are on the programme in our classroom sessions and having that independent time to go away, do our own coursework and then meet again.
