Rating

9.2/10
  • 1. Please give an overview of your role and what this involves on a day-to-day basis:
  • Ad-hoc data tasks, PowerBI creation and upkeep. Automation of manual tasks such as excel cleanups etc

    9/10

  • 2. Have you learnt any new skills or developed existing skills?
  • PowerBI, Python, communication and collaboration

    9/10

  • 3. To what extent do you enjoy your programme?
  • Enjoyable yet challenging, the skills learned in University show some carryover in day to day tasks

    9/10

  • 4. How well organised/structured is your programme?
  • Well structured from the University, the topics flow well into the next

    10/10

  • 5. How much support do you receive from your employer?
  • Support is there when needed, some University tasks require an applicable workplace task which can be easily arranged

    10/10

  • 6. How much support do you receive from your training provider when working towards your qualifications?
  • 1 day a week to study for University, and this can be flexible if there are other obligations that fall on this day

    10/10

  • 7. How well do you feel that your qualification (through your training provider) helps you to perform better in your role?
  • The qualification will help to surpass the current role, some learning will help to go above and beyond what is expected

    10/10

  • 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.)
  • I personally have not attended any, but they are available

    7/10

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


  • 9b. Why?
  • Great company, offers good support with qualifications and very flexible. They are especially great if you can work well independently.


  • 10. What tips or advice would you give to others applying to Unilever?
  • Make sure to ask questions and absorb knowledge from those around you, ask for projects that allow you to apply University learnings and get real on the job experience


Details

Degree Apprenticeship

Data Analysis, Computer Science

Port Sunlight

May 2024


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