Data is one of the most valuable assets in modern organisations, helping sectors such as finance, healthcare, education, defence, retail and manufacturing understand performance, identify opportunities and make informed decisions.
As AI, automation and advanced analytics become more widely adopted, employers need professionals who can turn complex data into meaningful insight and clear recommendations.
Data Analysts collect, prepare, analyse and interpret data from multiple sources. They identify trends, create reports and dashboards, and communicate findings to support evidence-based decisions, improvement and growth.
During this apprenticeship, learners develop analytical, technical and business skills, including data preparation, statistical analysis, visualisation, analytical tools and stakeholder communication, alongside awareness of AI, machine learning and digital transformation.
Key responsibilities
- Gather, prepare and analyse data from multiple sources
- Identify trends, patterns and business insights
- Create reports, dashboards and visualisations
- Support evidence-based decision making
- Interpret and communicate analytical findings
- Validate data quality and reliability
- Apply statistical and analytical techniques
- Work with stakeholders to understand business requirements
- Support continuous improvement and business performance initiatives
- Ensure data is managed securely and ethically
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.
