Data Analyst Apprentice

Digital Native
Milton Keynes
1 month ago
Applications closed

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Location:Volkswagen Group UK - Milton Keynes
Salary Details:£23,000
Vacancy Type:Fixed Term Contract - Full Time
Advertising End Date:26 Mar 2025

About The Role

Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working in a data role or who holds a degree or masters degree in a subject such as Data Science will not be eligible.

You will also need to commit to completing a Level 4 Data Analyst Apprenticeship.

What will you be doing?

We have a number of data apprenticeship roles available and the responsibilities and deliverables will vary but example duties include:

  • Establish reporting needs and deliver insightful and accurate information
  • Collect, compile and cleanse data
  • Identify, analyse, and interpret trends or patterns in data sets
  • Summarise and present the results of data analysis to a range of stakeholders, making recommendations
  • Interrogate and analyse data to root-cause data quality issues

As part of the Level 4 Data Analyst apprenticeship standard, you’ll be on track to an industry recognised qualification and your dedicated industry coach will support you through a blended approach that will include remote, in person, 1-2-1 and group learning.

What do you need?

To be successful in this apprenticeship you'll have high levels of accuracy and attention to detail. You should be competent in using Microsoft Excel and have a proven interest in data analysis (this could be from formal studies, self-study or the workplace).

To be eligible for the apprenticeship, you also need to have a minimum of 5 GCSEs (grades 9-4 or A-C) including Maths and English and meet the government eligibility criteria, including:

  • Right to work:You must have the right to work in the UK.
  • Residency:You must meet one of the following:
    • A UK citizen who has been resident in the UK or EEA for the previous three years.
    • An EEA or Switzerland national who has obtained either pre-settled or settled status under the EUSS and have lived continuously in the EEA, Switzerland, Gibraltar, or the UK for at least the previous 3 years.
    • A non-UK national who has been ordinarily resident in the UK and Islands for at least the previous 3 years where no part of this period has been wholly or mainly for the purpose of receiving full-time education.
    • An individual with immigration or asylum-seeking status which makes you eligible to receive government apprenticeship funding.
  • Prior knowledge and skills:You must not have more than six months professional experience in a similar role or hold a level 4 qualification or above in a related subject, e.g. a degree or masters degree in subjects including Maths, Data Analysis, Business Analytics etc.
  • Government funded learning programmes:You must not be on another government funded learning programme.

What's in it for you?

You’ll be working towards your level 3 Data Technician apprenticeship over 2 years to gain a recognised qualification alongside industry experts. As well as a salary of £20,000, you'll also be eligible for a new car every six months (as long as you have a full, clean UK driving licence). You’ll receive 27 days holiday – plus bank holidays, access to our pension scheme, employee well-being support, on-site restaurant and shopping discounts.

What's the assessment process?

Once you hit the apply button, you'll be taken to our careers site where you will be asked to submit an application form with CV and answer a couple of video interview questions so that we have a chance to get to know a little more about you.

Our final step in the journey would be to attend a face-to-face assessment centre where you will take part in a range of activities based on real life tasks.

Successful candidates will be offered a place soon after the assessment centre for a September 2025 start.

By applying you are agreeing to share your information with Digital Native, our apprenticeship training provider.

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