Data Analyst Apprentice

Recruiter
DIGITASLBI LIMITED
Location
101, Wood Lane, London, W12 7FR
Salary
£18,000.00 annually
Posted
21 Aug 2019
Closes
21 Sep 2019
Ref
VAC001570848
Specialism
IT
Sector
Unspecified
Role Type
Apprenticeship, Higher
Start Date
September
Duration
Permanent
Duties/responsibilities to include:
  • You will have full exposure to a huge range of clients as we work on 3 or 6 month rotations
  • Client facing exposure which will provide a solid foundation for any role you move towards in future
  • Access to the tools we use including Learning and Development, Lynda, Linkedin Learning and lunch and learn sessions (a chance for you to soak up all of the knowledge from people around you)
  • Cross department collaboration with strategy, media, creative and tech teams; which will help you to build up relationships and networks (as well as friendly faces to get you a cup of tea in the morning!)
  • You'll receive on the job training for all the technical skills that we require which will bring you up to speed with the requirements we look for when hiring (SQL, Excel, R, Python, google cloud tech, social listening tools, data platforms, etc.)
  • A mentor will also buddy up with you for 18 months, who will personally guide you through your journey with us and offer professional support throughout your time here


Requirements and prospects

Desired skills

  • A proactive person who loves to solve a problem
  • Get stuck into the maths and numbers
  • Open to learning SQL, Excel, Tableau, R, Python and Machine Learning
  • Great organisational and prioritisation skills


Personal qualities

  • Impeccable written and verbal communication
  • The willingness to learn and succeed


Desired qualifications

  • Five GCSE grades C - A* (or 4-9), including maths and English or equivalents


Future prospects

  • After your Data Analysis Apprenticeship, you can progress into any Junior Data Analyst, Data Scientist and Data engineer role. You'll have the skills to run insight analytical projects from beginning to end and work within a Data Analytics team

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