Data Support Analyst Apprentice
Data Cubed Limited
UK (BS1 4ND)
Closes in 16 days (Thursday 1 January 2026)
Posted on 15 December 2025
Contents
Summary
Are you looking to build a long-term career in data+AI? Then look no further! Start your career today with a Level 4 Data Analyst apprenticeship with Data Cubed Ltd and Kaplan.
We’re looking for someone who will help our team maintain our clients’ data platforms, whilst learning data+AI skills on the job. Wanna join us?
- Wage
-
£20,000 a year
Check minimum wage rates (opens in new tab)
Salary between 20000 - 24000
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, shifts to be confirmed.
40 hours a week
- Start date
-
Monday 2 February 2026
- Duration
-
1 year 6 months
- 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
Duties will include:-
- Respond to client support requests, ensuring timely acknowledgement and resolution
- Proactively monitor data platform performance, identifying and escalating potential issues
- Support basic data quality checks and validation processes to ensure platform accuracy
- Collaborate with Data Engineers and BI Developers to investigate and resolve technical issues
- Assist the delivery team with testing of newly built data platforms
- Contribute to the development and maintenance of support documentation, and standard processes
- Learn and apply best practices in data governance, security, and compliance
- Stay current with emerging trends in data warehousing, BI, and AI technologies through structured learning
Where you'll work
27 Queen Square
Bristol
UK
BS1 4ND
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
KAPLAN FINANCIAL 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
Data Analyst Level 4:
Ideal for new talent in the organisation with an active interest in data or existing staff taking on a more data centric role or Junior/aspiring Data Analysts working in any industry or sector. Our Data Analyst apprenticeship programme integrates six modules of technical training with work based projects. This ensures that learning and skills are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training.
Microsoft Office Specialist:
- Excel Associate
- Data and Visualisation using SAS® Data Analysis and Statistics SQL and Data Modelling
- Exploring Data Science using Python and R Data Challenge workshop
- Online development sessions (Optional)
Requirements
Essential qualifications
GCSE or equivalent in:
- English (grade 9-4)
- Maths (grade 9-4)
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
- Creative
- Initiative
- Non judgemental
Other requirements
Training and Development: You'll follow a structured apprenticeship program that combines on-the-job learning with formal study. Your development will include:
- Mentorship from experienced data developers within our team Hands-on experience with industry-leading data warehouse, BI, and AI platforms
- Technical training in SQL, data modelling, ETL processes, and platform administration
- Professional skills development in client communication, project management, and technical documentation
- Regular progress reviews and support to achieve your apprenticeship qualification
Do you have a passion for data + AI? We're looking for someone who is enthusiastic and passionate about data +AI, to come in and support the data platforms that we build and deliver to our clients. Love problem-solving? Creative with graphs? Experimenting with coding? You’re the right person for this role. We’re looking for someone who would love to help our team maintain our clients’ data platforms, whilst learning data + AI skills on the job. We help our clients to unlock their data potential so they can make/save more money – wanna join us?
Our DATA3 offer:
For the right candidate, we offer a super exciting role in a fast-growing global data lab…
Want variety? You got it - we work across multiple tech, clients, sectors + locations.
Want training? You got it - we love developing people + nurturing talent.
Want time out? You got it - we offer 30 days holiday per year.
Want flexibility? You got it - we love flexible working.
Want diversity & inclusion? You got it - we believe that diverse + inclusive businesses are far more successful and better places to work.
Want free stuff? You got it – our offices provide free drinks, tea, coffee + more… plus you’ll be invited to join our employee benefits scheme…and you’ll receive DATA3 branded merchandise too…yay!
Want to enjoy coming to work every day? We do too - let’s create the culture we all want to work in.
About this employer
We’re award-winning global data + AI consultants + builders. We power our clients’ growth using data + AI. We review, select, set up + support all of their organisation’s data + AI tools. We work with UK and global clients across all sectors. We were born in 2017, we have ambitious growth plans and we’re growing every day.
Our Values are:
1. We make things simple
2. We do what we say we will... at a pace
3. We're inclusive
Our culture is created by the team.
After this apprenticeship
This role will be supporting our delivery function and working alongside the technology we deliver to our customers. The individual has the opportunity to develop further in all aspects of data + AI. We hope this role can grow with us as a business.
Ask a question
The contact for this apprenticeship is:
KAPLAN FINANCIAL LIMITED
The reference code for this apprenticeship is VAC2000005116.
Apply now
Closes in 16 days (Thursday 1 January 2026)
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