DNO Level 4 Data Analyst Apprenticeship Aldermaston - SC

Ministry of Defence

Reading (RG7 4PR)

Closes in 11 days (Monday 1 September 2025)

Posted on 21 August 2025

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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

£36,530 a year

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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 October 2025

Duration

2 years

Positions available

2

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

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

Aldermaston
Reading
RG7 4PR

Training

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

Training provider

To be confirmed

Training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

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 Design
  • implement the stages of the data analysis lifecycle
  • apply principles of data classification within data analysis activity
  • analyse data sets taking account of different data structures and database designs
  • assess the impact on user experience and domain context on data analysis activity
  • identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
  • undertake customer requirements analysis and implement findings in data analytics planning and outputs
  • identify data sources and the risks and challenges to combination within data analysis activity
  • apply organizational architecture requirements to data analysis activities
  • apply statistical methodologies to data analysis tasks
  • apply predictive analytics in the collation and use of data
  • collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
  • use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
  • select and apply the most appropriate data tools to achieve the optimum outcome
  • Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
  • implement the stages of the data analysis lifecycle
  • apply principles of data classification within data analysis activity
  • analyse data sets taking account of different data structures and database designs
  • assess the impact on user experience and domain context on data analysis activity
  • identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
  • undertake customer requirements analysis and implement findings in data analytics planning and outputs
  • identify data sources and the risks and challenges to combination within data analysis activity
  • apply organizational architecture requirements to data analysis activities
  • apply statistical methodologies to data analysis tasks
  • apply predictive analytics in the collation and use of data
  • collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
  • use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
  • select 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.

Requirements

Essential qualifications

GCSE in:

  • English (grade 4 (C))
  • Maths (grade 4 (C))

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

Skills

  • IT skills
  • Organisation skills
  • Problem solving skills
  • Administrative skills
  • Number skills

About this employer

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

https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SID=b3duZXJ0eXBlPWZhaXImc2VhcmNocGFnZT0xJn (opens in new tab)

After this apprenticeship

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

Ask a question

The contact for this apprenticeship is:

To be confirmed

The reference code for this apprenticeship is VAC1000338392.

Apply now

Closes in 11 days (Monday 1 September 2025)

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After signing in, you’ll apply for this apprenticeship on the company's website.