Data Analyst Apprentice

Yeovil College

Somerset (BA21 4DR)

Closes in 16 days (Sunday 5 July 2026)

Posted on 19 June 2026


Summary

Launch your career with a Data Analyst Apprentice opportunity at Yeovil College. Working within our MIS team, you'll use tools such as Power BI, SQL, Excel and Microsoft to analyse data, create reports and dashboards, and provide data management, analysis and reporting of data to inform strategic intelligence and decision making. 

Wage

£15,435 a year

Minimum wage rates (opens in new tab)

  • Annual Salary: £15,435, in year 1, Increasing in year 2 [18 – 20 years old: £20,933, aged 21 and over £24,522] 

Training course
Data analyst (level 4)
Hours
Monday to Friday 08:30am - 5pm

37 hours a week

Start date

Monday 3 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

  • Select relevant data sources using evidence-based decisions
  • Extract, compile, and cleanse data from multiple systems
  • Identify and resolve data quality issues; escalate risks when needed
  • Work with stakeholders to understand and define reporting requirements
  • Analyse and report DTEC data to support decision-making
  • Draw insights from data and provide actionable recommendations
  • Write and maintain data queries for accurate data retrieval
  • Build and maintain dashboards and reports (e.g. Power BI, Excel, SSRS)
  • Automate data processes using tools like SQL Server Agent and Power Platform
  • Manage communication tools (emails, SMS, forms)
  • Ensure data is secure and handled in line with policies and legislation
  • Work independently and collaboratively to solve problems and improve processes
  • Present insights clearly to both technical and non-technical audience

Where you'll work

Mudford Road
Yeovil
Somerset
BA21 4DR

Training

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

Training provider

YEOVIL COLLEGE

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

  • Data Analyst Level 4
  • This apprenticeship combines practical workplace experience with structured learning through bi-weekly day release at College on Thursdays, so we're looking for someone who is genuinely committed to learning, developing new skills and embracing challenges

Requirements

Essential qualifications

GCSE in:

  • English (grade 9 – 4 / A* - C)
  • Maths (grade 9 – 4 / A* - C)

Level 3 related qualification in:

ICT (grade PASS or above)

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

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Customer care skills
  • Problem solving skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative
  • Non judgemental
  • Patience

Other requirements

  • Passing a Disclosure and Barring Service (DBS) check
  • Looking for someone with experience working with data, numbers, IT systems or relational databases through education, employment or personal projects

About this employer

Yeovil College has been serving the community in and around Yeovil for almost 140 years. The College was first formed in 1887 when Somerset County Council began formally organising Science and Art classes in Yeovil. In 1947, the first Principal was appointed to lead Yeovil Technical College and when secondary education in the Yeovil Borough was reorganised in 1974, Yeovil College became one of the early tertiary colleges to be formed in England. Today, Yeovil College remains passionate about its role as a key provider of education and training in South Somerset and North and West Dorset. It remains committed to its role as a tertiary college for the whole community.

https://www.yeovil.ac.uk/ (opens in new tab)

Company benefits

  • Staff discount scheme 
  • Free onsite gym
  • Opportunities for professional development 
  • Employee assistance programme
  • Subsidised catering
  • Access to free parking 

Disability Confident

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

Securing a full-time role within the data analysis field. 

Ask a question

The contact for this apprenticeship is:

YEOVIL COLLEGE

Gabrielle Cobner

studentrecruitment@yeovil.ac.uk

01935845380

The reference code for this apprenticeship is VAC2000037733.

Apply now

Closes in 16 days (Sunday 5 July 2026)

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