Data skills to drive decisions and performance
Ready to unlock the power of data within your organisation? Our apprenticeship equips professionals with the technical skills and practical knowledge to source, manage, and interpret data. Through a combination of Cambridge learning and real-world training, apprentices will gain the knowledge, skills, and behaviours to drive evidence-based decisions and improve business performance, making them valuable assets to any organisation. They’ll focus on key aspects of data analysis. From data collection to visualisation. From programming to communicating strategic insights. And build the confidence and capability to thrive in a data-driven workplace and world.
Course Dates
Course details
Tutors
Course information
Data drives decisions, and skilled analysts make those decisions smarter. This apprenticeship in data analysis empowers professionals to leverage data strategically and effectively. Through structured learning and workplace practice, apprentices will build expertise as data analysts without stepping away from their role. Businesses will benefit by automating reports and improving data quality, as well as supporting KPIs and strategic decisions. And employers will gain from improved internal data capability, career pathways and retention.
Who is this apprenticeship for?
This apprenticeship is suitable for employees and employers across all industries who rely on data to inform decisions and improve performance. It’s ideal for professionals working in roles such as business administration, operations, marketing, finance, HR, customer service, and project co-ordination who are looking to develop strong analytical and data-driven problem-solving skills. It’s also well suited to individuals who regularly handle data, produce reports, or support decision-making processes and want to enhance their capability in turning raw information into meaningful insights. Employers can upskill staff who work with spreadsheets, reports or dashboards and need more robust analytical capability.
Benefits for apprentices
- Develop impactful analytical skills: learn to use data and AI tools when making business decision
- Earn a recognised qualification: gain a respected Level 4 Data Analyst Apprenticeship
- Suitable for all sectors: ideal for all sectors such as business analytics, digital, healthcare and engineering sectors
- Expert support: guidance from experienced coaches and mentors throughout the programme
- Career progression: open pathways to Data Engineering and Scientist apprenticeship routes
Benefits for employers
- Develop in-house data capability
- Improve productivity
- Automate manual reporting
- Reduce errors
- Make better use of existing data tools
- Shape training around real business needs
- Cost-effective recruitment, retention and development strategy
- Access to Government funding / levy funds
- Improved data-driven decision making in the business
Outcomes
The Data Analyst apprenticeship is designed in accordance with the occupational standard as defined by Skills England and built around achieving a set of:
- Knowledges: things an apprentice learns
- Skills: things an apprentice demonstrates in assessments and in their portfolio
- Behaviours: areas related to an apprentice’s professional ability to carry out their work in practice
Hours
380 hours of ‘off-the-job' training.
This apprenticeship takes place over 24 months, excluding the End Point Assessment. It combines on- and off-the-job training.
Start dates:
- 28 April 2026
- 8 October 2026
- 27 April 2027
End dates:
- 28 April 2028
- 8 October 2028
- 27 April 2029
Off-the-job training
‘Off-the-job’ training is university work that you carry out during your normal working hours, and typically makes up 20% of an apprenticeship. For this apprenticeship, the ‘off-the-job' training includes:
- 3 in-person sessions throughout the apprenticeship
- Weekly 2-hour ‘live’ online teaching sessions (10am to 12pm)
- Tutorial sessions
- Pre-recorded lectures and activities
Topics
- Introduction to data, legislation and DBMS
- Introduction to programming and data manipulation
- Introduction to statistics
- Data quality, integration and business needs
- Project development and professional excellence
- Introduction to machine learning
Apprenticeship tutor
We will allocate an apprenticeship tutor, who will:
- supervise apprentices and hold tutor sessions
- be a ‘skills coach’, attending progress reviews and advising the employment mentor on progress
- complete workplace assessments
On-the-job training
Employers deliver ‘on-the-job’ training, which typically makes up 80% of an apprenticeship.
Employment mentor
Employers will allocate an employment mentor, who will:
- work closely with the apprentice and the apprenticeship tutor
- support in the development of the skills necessary for the apprentice to perform their role and complete their training
- help the apprentice develop relevant knowledge, skills and behaviours
- support the apprentice’s professional development and career planning
- provide opportunities for the apprentice to gain wider knowledge and skills
- support the alignment of on and off-the-job training
Apprentices will demonstrate learning using a range of assignments submitted during and at the end of each topic. There are more details about how this apprenticeship is assessed in the apprenticeship course guide we will send.
E-portfolio
Apprentices will submit assignments, workplace evidence and off-the-job hours on their e-portfolio. The apprenticeship tutor will monitor progress and communicate through the e-portfolio and set tasks and targets accordingly.
The workplace mentor and employer will have access to the e-portfolio to view progress and provide any support required.
Progress reviews
Progress reviews take place regularly throughout the apprenticeship. These are between the apprentice, the workplace mentor and the apprenticeship tutor.
End Point Assessment
After successfully completing learning and meeting the Knowledges Skills and Behaviours, apprentices proceed to the End Point Assessment. This takes place during month 25 to 27 of the apprenticeship and consists of:
- a project with presentation and questioning
- a professional discussion with portfolio
To determine eligibility for the apprenticeship programme, apprentices need to:
- take an Initial Needs Assessment (INA)
- take a literacy and numeracy assessment
- complete residency eligibility checks
This process will:
- provide assurance to us and the employer that this is the right training course for the applicant
- identify relevant prior learning and any gaps in knowledge, skills or experience, and develop an individual training plan
- confirm whether the applicant’s English Language and Maths level meets requirements for the apprenticeship
- identify any support the apprentice may require in terms of additional learning needs
Fees
There is no employer top-up fee for this apprenticeship.
Funding
For information on funding, including apprenticeship levy funds and additional funding, visit our apprenticeships page.
Apprentices
Interested in this apprenticeship? It’s a good idea to talk to your employer first. Once you have their support, click ‘Apply’ and we’ll review your application and get in touch with your employer.
Employers
Want more information and guidance on whether this apprenticeship could be a good fit for your business? Contact us. Once you’re ready to take the next step, your employee will need to apply.
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