Data Analyst apprentice at Deltapoll
DELTAPOLL LIMITED
London (SE1 8EN)
Closes in 22 days (Sunday 1 February 2026)
Posted on 9 January 2026
Contents
Summary
Data analyst at Deltapoll, working across the whole business and reporting to the co-founders.
- Wage
-
£18,200 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday- Friday
Shifts to be confirmed
35 hours a week
- Start date
-
Monday 2 February 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 data analysis, this wide-ranging, full-time role will involve engaging with every stage of the research process, from
- The design and testing of questionnaires and discussion guides,
- To producing 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 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)
Requirements
Essential qualifications
GCSE or equivalent in:
- English (grade 6)
- Maths (grade 6)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- IT skills
- Attention to detail
Other requirements
As a small company, one of the consequences is a relaxed atmosphere and flat structure where everybody’s thoughts and inputs are welcomed. Some periods will be quite while others will be very hectic. The subjects covered and precise type of work does vary, a large proportion of the day can be spent at a desk, in the office, working on a computer.
About this employer
Deltapoll work with our clients to explore and explain this human dilemma, by bringing back the human element to research and placing emotion at the very centre of our approach. We access not only the mind, but the heart too. In navigating today’s often bewildering environment, both still matter.
After this apprenticeship
- Though we cannot guarantee it, it is very much our hope that upon completion of the apprenticeship, the candidate would join Deltapoll as a full-time employee at Research Executive level
Ask a question
The contact for this apprenticeship is:
CAPITAL CITY COLLEGE GROUP
The reference code for this apprenticeship is VAC2000007859.
Apply now
Closes in 22 days (Sunday 1 February 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.