Apprentice – Data Analytics

Job LocationUK
Job TagData Analytics


For bp to become the leading digital energy business, we must put data at the heart of every decision. To achieve this goal, we have brought together our global expertise, tools and ways of working under our new dataWorx function – this is where your Data Analyst Apprenticeship will be based.

On this four-year programme, you’ll split your time between several exciting roles. Each role will give you a comprehensive introduction to BP, our businesses, and our dataWorx function. In these rotational roles, you’ll gain knowledge of the sub-disciplines within dataWorx, and develop the technical, business and behavioural skills you’ll need to become a well-rounded data professional.


  • We have a dynamic structure: Line management and career development are driven via ‘disciplines’ while multidisciplinary ‘squads’ provide the opportunity to gain new skills by working on a digital initiative for a given period of time.
  • We prioritise high value initiatives: We prioritise the work that we do based on value to ensure we’re focusing our efforts on the most critical business needs and aren’t afraid to stop if they’re not delivering value.
  • To speed up delivery of high-value digital products, we form fully dedicated, multidisciplinary squads that follow agile delivery methods.
  • We set global standards and consistency: We apply consistent standards across our workflows to ‘free the data’, improve data ownership, and avoid duplications and inefficiencies.
  • We provide a career home: We don’t see data as just a job, we create clear career pathways for our data professionals to deepen and broaden their expertise, and continuously support them along their journey.


  • English and Maths GCSE at grade 4 (C) or above
  • Minimum achieved or predicted 104 UCAS points, which must include at least one A level (or equivalent) in a related subject (e.g., Computer Science, Information Technology, Networking, Software Engineering) at a minimum grade C (or equivalent)
  • You must be committed and motivated to studying towards a Data Analyst degree qualification. You must also have the ability to work on your own initiative – and be able to work co-operatively as part of a team. You’ll have a keen eye for detail, excellent written, verbal communication and numeracy skills, and the ability to plan and prioritise your workload.
  • Ideally, you would have had exposure to Python, R, Automation or any coding courses.

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