Trainee Public Health Data Analyst Apprenticeship

Stoke-on-Trent City Council

Staffordshire (ST4 1HH)

Closes in 20 days (Tuesday 26 May 2026)

Posted on 6 May 2026

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Summary

The team work across a range of areas linked to statutory and non-statutory duties which protect and improve the health, wellbeing and safety of our residents. We utilise data and evidence to help guide decisions on investment and targeting of particular programmes of work.

Wage

Competitive

Competitive wage offered

Check minimum wage rates (opens in new tab)

Training course
Data analyst (level 4)
Hours
Shifts to be confirmed.

37 hours a week

Start date

Saturday 1 August 2026

Duration

2 years

Positions available

1

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

  • Lead or support data analysis, surveys and reports presenting complex finings to diverse audiences
  • Support delivery of statutory public health intelligence, including JSNA, Annual Public Health Report and outbreak response
  • Coordination of Joint Strategic Needs Assessment on behalf of Health and Wellbeing Board
  • Leading on annual city wide wellbeing survey and other lifestyle surveys
  • Deep-dive analysis on priority areas for the local authority and partners, such as child development, domestic abuse
  • Development of reporting dashboards to support service monitoring such as Environmental Health and Trading Standards, delivery of NHS Health Checks

Where you'll work

Civic Centre
Glebe Street
Stoke-on-Trent
Staffordshire
ST4 1HH

Training

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

Training provider

QA LIMITED

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

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

Skills

  • Communication skills
  • Attention to detail
  • Problem solving skills
  • Administrative skills
  • Logical

About this employer

Stoke-on-Trent City Council values the diversity of its community and aims to have a workforce that reflects this – we therefore encourage applications from all sections of our community. We celebrate diversity and are committed to creating an inclusive environment for all employees – a place where we can all be ourselves and succeed together.

After this apprenticeship

  • Data Analyst 

Ask a question

The contact for this apprenticeship is:

QA LIMITED

The reference code for this apprenticeship is VAC2000030182.

Apply now

Closes in 20 days (Tuesday 26 May 2026)

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