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Data Analyst Apprenticeship - Level 4

Government Statistical Service

Apprenticeship
Recruiting nationally£28,138 per yearA-levels or equivalentTech & DigitalPosted 11 March 2026
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About this role

Wage: £28,138 a year
Training course: Data analyst (level 4)
Hours: Click apply to see full details of the working week for this apprenticeship.
Start date: Wednesday 1 April 2026
Duration: 2 years
Positions available: 10

Summary

This apprenticeship is a role within the Civil Service. To see full details of the apprenticeship click on ‘apply’ to go to the Civil Service Jobs website.

Wage £28,138 a year Check minimum wage rates (opens in new tab) Training course Data analyst (level 4) Hours Click apply to see full details of the working week for this apprenticeship. 37 hours a week Start date Wednesday 1 April 2026 Duration 2 years Positions available 10

What you'll do at work

This apprenticeship is a role within the Civil Service. To see full details of the apprenticeship click on ‘apply’ to go to the Civil Service Jobs website.

Where you'll work

Andover, Birmingham, Bristol, Cardiff, Fareham, High Wycombe, Leeds, Liverpool, London, Manchester, Newcastle-upon-Tyne, Portsmouth, Sheffield

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

What you'll learn

Course contents Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Designimplement the stages of the data analysis lifecycleapply principles of data classification within data analysis activityanalyse data sets taking account of different data structures and database designsassess the impact on user experience and domain context on data analysis activityidentify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriateundertake customer requirements analysis and implement findings in data analytics planning and outputsidentify data sources and the risks and challenges to combination within data analysis activityapply organizational architecture requirements to data analysis activitiesapply statistical methodologies to data analysis tasksapply predictive analytics in the collation and use of datacollaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audienceuse a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in datacollate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphsselect and apply the most appropriate data tools to achieve the optimum outcomeUse data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Designimplement the stages of the data analysis lifecycleapply principles of data classification within data analysis activityanalyse data sets taking account of different data structures and database designsassess the impact on user experience and domain context on data analysis activityidentify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriateundertake customer requirements analysis and implement findings in data analytics planning and outputsidentify data sources and the risks and challenges to combination within data analysis activityapply organizational architecture requirements to data analysis activitiesapply statistical methodologies to data analysis tasksapply predictive analytics in the collation and use of datacollaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audienceuse a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in datacollate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphsselect and apply the most appropriate data tools to achieve the optimum outcome

Training schedule

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Essential qualifications

GCSE in:

English and Maths (grade C)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

Click apply for details

About this employer

You can see full details of this apprenticeship on Civil Service Jobs.

After this apprenticeship

You can see full details of this apprenticeship on Civil Service Jobs.

What you need

  • GCSE in:
  • English and Maths (grade C)
  • Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Interested in this role?

Apply Now