Data Technician - Level 3 Apprentice at Deltapoll
DELTAPOLL LIMITED
London (SE1 8EN)
Closes in 18 days (Friday 3 April 2026)
Posted on 16 March 2026
Contents
Summary
Data Technician at Deltapoll, working across the whole business and reporting to the co-founders.
- Wage
-
£20,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Mon- Fri.
35 hours a week
- Start date
-
Monday 20 April 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
With a particular emphasis on public opinion data analysis, this wide-ranging, full-time role will involve engagement at every stage of the research process, from the design and testing of questionnaires and discussion guides to the production of findings in the form of tables, reports, or presentations. These may be longer-term projects or fast-paced surveys that require a quick turnaround, but in all cases, working with both senior members of the Deltapoll team and high-profile clients will take place from the outset.
Where you'll work
156 Blackfriars Road
London
SE1 8EN
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
CAPITAL CITY COLLEGE GROUP
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
Data Technician Level 3
Requirements
Essential qualifications
GCSE or equivalent in:
- English (grade 4-9)
- Maths (grade 4-9)
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
Other requirements
An interest in news and current affairs is a must. The ideal candidate will also have excellent verbal and written communication skills, good attention to detail and have the ability to work on multiple projects simultaneously.
Proficiency using Excel and PowerPoint would be beneficial, as would knowledge of either SPSS or RStudio.
As a small company, one of the consequences is a relaxed atmosphere and a flat structure where everybody’s thoughts and input are welcome. Some periods will be quiet while others will be very hectic. The subjects covered, and the precise type of work vary; a large proportion of the day can be spent at a desk in the office working on a computer.
About this employer
Deltapoll is a public opinion consultancy that was founded in 2018. From our offices in central London we conduct both quantitative and qualitative research for clients in both the public and private sectors. Though our work often takes place in Britain and focuses on political subjects, we carry out work across the world and cover an enormous range of subjects. We are, by design, a small company that seeks to work in close partnership with our client to deliver the human element to public opinion research.
After this apprenticeship
Though we cannot guarantee it, we very much hope that, upon completion of the apprenticeship, the candidate will join Deltapoll as a full-time Research Executive.
Ask a question
The contact for this apprenticeship is:
CAPITAL CITY COLLEGE GROUP
The reference code for this apprenticeship is VAC2000020762.
Apply now
Closes in 18 days (Friday 3 April 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.