Level 4 Data Analyst

Level 4 Data Analyst – Apprenticeship – Unilever

Hybrid working – minimum 2 days a week at Kingston or London Blackfriars office. Full address details: 3 St. James's Rd, Kingston upon Thames, KT1 2BA; Victoria Embankment, London, EC4Y 0DY, UK

1 year and 6 months to 2 years

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• Support world‑class brands in data development, finance, marketing and supply chain.
  
• Work under a dedicated line manager to gain technical knowledge and skills.
  
• Engage in on‑the‑job training, formal development opportunities and mentoring.
  
• Apply data wrangling and analysis techniques; develop foundation in data science, Python and machine learning.
  

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• Industry‑leading training for aspiring and junior data analysts.
  
• Technical and analytical skills across data wrangling, analysis and introductory machine learning.
  

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• Line manager develops induction plan and bespoke learning goals.
  
• Regular one‑to‑one meetings for coaching and guidance.
  
• Access to in‑person training courses and online learning portals.
  
• Opportunities to build a network of stakeholders across the business.
  

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• Competitive Salary of £20,181
  
• Discounted staff shop
  
• Subsidised gym membership
  
• 25 days holiday allowance
  
• Hybrid working (minimum 2 days weekly at Kingston or London office)
  

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• Predict or have 5 GCSEs including English Language and Maths at grade 4 or above.
  
• Predict or have a minimum of one A‑level or equivalent.
  

1. 
   
2. Complete online application form and describe motivation for choosing Unilever and the apprenticeship programme.
   
3. Situational Judgment Test – realistic scenarios to identify appropriate responses; includes numerical and verbal reasoning.
   
4. In‑person Discovery Centre – immerse in business challenges and interview.
   

Discovery Centres are scheduled 28th and 29th January 2026.

Rolling deadline – applications accepted as soon as possible.

Phone: – Email:

Unilever is a key advocate of well‑being and offers a variety of resources for our people including hubs, programmes, and development opportunities. We give full and fair consideration to all applicants, regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, pregnancy and maternity.

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