Data Analyst Apprentice
EMCOR (UK) LIMITED
Cheltenham (GL50 4BB)
Closes in 24 days (Friday 28 November 2025 at 11:59pm)
Posted on 3 November 2025
Contents
Summary
You’ll gain valuable hands-on skills in data collection, cleaning, analysis, visualisation, and interpretation, while completing a Level 4 Data Analyst Apprenticeship, a nationally recognised qualification.
- Wage
-
£22,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, 8am - 5pm
40 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
- Support the Data & Analytics Manager generating and analysing data and trend analysis across a selection of data and information sets to provide a broad range of insights
- Providing reporting and analysis of information on specific topics as requested by the D&A Manager
- Maintains the data structure and standards for EMCOR systems in conjunction with the application/data owners, or subject matters ie Health and Safety, Asset Management and Finance
- Interrogate and identify opportunities that can improve the efficiency of business processes
- Design and development of dashboards and associated reporting using visualisation tools such as Power BI and Smartsheet
- Provides data cleansing and data management services, on an approved and requested basis
- Attend off-the-job training (e.g., college, technical training provider) as part of your apprenticeship programme.
- Support the company’s goals by carrying out any other reasonable tasks as requested by the line manager.
Where you'll work
Cheltenham Delivery Office
Swindon Road
Cheltenham
GL50 4BB
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
JUST IT TRAINING 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
The apprenticeship typically takes approximately 2 years to complete and is designed to equip apprentices with the knowledge, skills, and behaviours required to become competent data analysts. It includes both on-the-job training and off-the-job study with a training provider.
The apprenticeship is delivered through a blend of online learning and interactive workshops with our training provider, taking place approximately two days per month.
Requirements
Essential qualifications
GCSE in:
- GCSE (or equivalent) in English (grade C/4 or above.)
- GCSE (or equivalent) in Math (grade C/4 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
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
Other requirements
Due to the nature of this role, you will be required to obtain National Security Clearance. Therefore, we can only accept British Citizens for this position
About this employer
At EMCOR UK, we revolutionise facilities management by combining our engineering heritage and innovation capability. We prioritise people in everything we do, collaborating closely with our customers to understand all their needs, from the big picture to day-to-day operations. Our purpose is to “create a better world at work”. Using our unique insight platform, "One Data World," we harness data-driven intelligence to make informed decisions, adapting our services to meet our customers’ evolving requirements. This allows us to cultivate an enhanced workplace experience for their teams whilst optimising efficiency, meticulously managing every asset, and minimising their impact on the planet. All supported by our commitment to safety, compliance, and assurance. Our partnering approach empowers our customers to shape a better future. Whether guiding their path to net zero or redeveloping their facilities for enhanced efficiency, we create better places for work whilst taking away the burden of facility operations, freeing up our customers to concentrate on their business.
https://www.emcoruk.com/ (opens in new tab)
Company benefits
25 days holidays + Bank holidays. Health Cash Plan. Discount shopping. Gym. Days out. Learning & development opportunities. Paid volunteering days, plus many more.
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
This is a permanent role.
Ask a question
The contact for this apprenticeship is:
EMCOR (UK) LIMITED
Michael Barnard
Michael.Barnard@emcoruk.com
The reference code for this apprenticeship is VAC1000349162.
Apply now
Closes in 24 days (Friday 28 November 2025 at 11:59pm)
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