Rating

5.5/10
  • 1. Please give an overview of your role and what this involves on a day-to-day basis:
  • Using data insights to build valuable interpretable reports for our stakeholders

    6/10

  • 2. Have you learnt any new skills or developed existing skills?
  • I've developed my skills in Power bi excel and coding languages such as Dax, Python,SQL, css and html

    7/10

  • 3. To what extent do you enjoy your programme?
  • The university side I enjoy greatly however I feel the work isn't the most motivating to contribute to

    5/10

  • 4. How well organised/structured is your programme?
  • There is often a lack of task in which correlate with the work I am doing in university however this is due to the nature and needs of the business within the department I opperate in

    5/10

  • 5. How much support do you receive from your employer?
  • There are pleanty of educational resources and a heavy push on wellbeing

    6/10

  • 6. How much support do you receive from your training provider when working towards your qualifications?
  • We do receive time of weekly to focus on our studies however often times the demands of the business lead to these days being taken up by work

    5/10

  • 7. How well do you feel that your qualification (through your training provider) helps you to perform better in your role?
  • The training provider offers us a range of valuable techniques however often times due to the nature of my work I struggle to fully utilise the full extent of this quality learning

    6/10

  • 8. Are there extra-curricular activities to get involved in at your work? (For example, any social activities, sports teams, or even professional networking events.)
  • Some but infrequent

    4/10

  • 9a. Would you recommend Unilever to a friend?
  • Yes


  • 9b. Why?
  • As the pay is good and there is the potential for career progression


  • 10. What tips or advice would you give to others applying to Unilever?
  • Make sure you are quite outgoing and good with communication


Details

Degree Apprenticeship

Data Analysis

Sharnbrook

May 2024


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