Data Analyst Apprentice
SES (ENGINEERING SERVICES) LIMITED
Birmingham (B3 2TA)
Closes in 25 days (Tuesday 10 March 2026)
Posted on 11 February 2026
Contents
Summary
As a Data Analyst Apprentice you’ll gain practical, hands-on experience, learn from supportive professionals, and work towards a nationally recognised qualification. This role is ideal for anyone curious about data, enjoys problem-solving, and wants to turn insights into meaningful action.
- Wage
-
£14,526.20 to £23,492.04, depending on your age
National Minimum Wage
- Training course
- Data technician (level 3)
- Hours
-
Monday- Friday
8:30am- 4:30pm
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
- Collecting, organising, and analysing data to help inform business decisions
- Learning to use tools such as Excel, SQL, and data visualisation software
- Preparing reports and dashboards that present insights in a clear and accessible way
- Collaborating with different teams to understand their data needs
- Ensuring data accuracy and following best practices for data security
- Supporting projects by providing timely and reliable analysis
Where you'll work
Interchange Place 151-165
Edmund Street
Birmingham
B3 2TA
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 technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
Training schedule
- An apprenticeship includes regular training with a college or other training organisation
- At least 20% of your working hours will be spent training or studying
Requirements
Essential qualifications
GCSE in:
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
- Organisation skills
- Problem solving skills
- Logical
- Team working
- Good time management
- Can meet work deadlines
Other requirements
passing a Disclosure and Barring Service (DBS) check
About this employer
SES Engineering Services (SES) is recognised as one of the leading M&E partners in the UK. Specialising in the design and installation of building services and infrastructure solutions, SES covers all aspects of M&E engineering.
After this apprenticeship
- Wates offer a wide range of career progression opportunities, including further qualifications on completion of the apprenticeship
- Permanent position for the right candidate
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC2000006753.
Apply now
Closes in 25 days (Tuesday 10 March 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.