西瓜视频

Data analyst Review

by Unilever

Best Student Employer

Rating

4.5/5
  • Skills
    4.8
  • Responsibilities
    4.0
  • Support & Guidance
    4.0
  • Culture
    4.3
  • Your Impressions
    5.0

    Overview

  • 1. Please give an overview of your role and what this involves on a day-to-day basis.
  • In my day-to-day role, I work extensively with factory data, ranging from environmental metrics to machine efficiency indicators. My responsibilities include collecting and analyzing this data to support both reactive and proactive decision-making. I focus on identifying areas for improvement, tracking progress, and enabling predictive maintenance strategies. Much of my work is project-based, requiring a structured approach to problem-solving and continuous collaboration across teams to drive operational excellence.


    Skills

  • 2. Have you learnt any new skills, or developed your existing skills?
  • Over the past year, I鈥檝e gained a tremendous amount of knowledge and experience. I would highly recommend this opportunity to anyone interested in exploring the world of work. Beyond technical skills, I鈥檝e developed valuable interpersonal abilities, grown in professionalism within the workplace, and built confidence in leading projects. This experience has been instrumental in shaping both my personal and professional growth.


  • How would you rate the training provided during your experience?
  • 5/5

  • How would you rate your development of industry-specific skills during the experience?
  • 5/5

  • How would you rate your development of personal / soft skills during the experience?
  • 4/5

  • Please rate how these skills have helped you in your career development
  • 5/5

    Responsibilities

  • 3. Were you given much responsibility during your placement / internship?
  • Over the past year, I have had the opportunity to take on a high level of responsibility, particularly in leading data solutions for the factory. This experience reflected the trust my team placed in me and helped build my confidence in my abilities. I have gained extensive knowledge in areas such as data analysis, operational efficiency, and predictive maintenance. Just as importantly, I have developed strong interpersonal skills, grown in professionalism, and become more confident in leading projects. I would recommend this experience to anyone looking to gain meaningful insight into the workplace and grow both technically and personally.


  • Please rate how meaningful the work you were doing was
  • 4/5

    Support & Guidance

  • 4. How much support and guidance did you receive during your placement / internship?
  • I led key data projects and gained valuable technical and professional skills. The team supported me throughout, taking time to guide my growth despite busy schedules. This experience built my confidence and shaped my career direction meaningfully.


  • How would you rate the support and guidance from your line manager?
  • 4/5

  • How would you rate the support and guidance from the wider team?
  • 4/5

    Culture

  • 5. What was the company culture and general atmosphere like?
  • People first culture, above work people are actually concerned about how everyone is and a little bit about their lives which is special and what i have loved about the team.


  • How would you rate the inclusiveness of the culture?
  • 4/5

  • How would you rate the social opportunities?
  • 3/5

  • How would you rate the diversity initiatives?
  • 5/5

  • How would you rate the charity, sustainability and corporate social responsibility (CSR) initiatives?
  • 5/5

    Your Impressions

  • 6. To what extent did you enjoy your placement / internship?
  • i enjoyed it thoroughly


  • Please rate your level of enjoyment on your placement / internship
  • 5/5

  • Please rate how your experience met your expectations
  • 5/5

  • Please rate the future employment prospects at Unilever
  • 5/5

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


  • 8. What advice would you give to others applying to Unilever
  • Go in with an open mind and take the opportunity to connect with people across the company, even internationally. You never know what might inspire you or spark a new interest.


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Details

Placement (10 Months+)

Data Science

North West

June 2025


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