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Data Analysts play a crucial role in helping organisations make evidence-based decisions by analysing complex data sets across various sectors, including finance, marketing, and healthcare.

Key Facts

Duration

24 months plus End-Point Assessment (EPA)

Funding Band

£15,000

Delivery Location

National

Qualification

On successful completion, apprentices will achieve a Level 4 Data Analyst Apprenticeship.

Apprenticeship details

This apprenticeship covers a comprehensive range of software development skills, including coding, user interface development, database integration, and software testing.

What it covers:

Knowledge:

  • Data structures and database systems
  • Data analysis tools and techniques
  • Statistical methodologies
  • Data governance and compliance
  • Business context and requirements

Skills:

  • Collecting and processing data from various sources
  • Analysing data to identify trends and insights
  • Using data visualisation tools to present findings
  • Communicating complex data insights to non-technical audiences
  • Applying statistical techniques to solve business problems

Behaviors:

  • Attention to detail and accuracy
  • Problem-solving mindset
  • Ethical approach to data handling
  • Continuous professional development
  • Collaboration and teamwork

Delivery

This fully remote course offers two flexible delivery options:

  • 24 months + 3 months EPA: A blended approach with fortnightly group training, one-to-one sessions every 4 weeks, webinars, online courses, video content, and additional support as needed.
  • 18-22 months: Starts with a 12-week intensive group bootcamp, followed by one-to-one sessions, webinars, online courses, video content, and ongoing support.

Entry requirements 

GCSE grade A*-C/9-4 in maths and English or equivalent is desirable

Apprentices must be employed in an IT/software role.

Progression

Upon successful completion, apprentices can pursue roles such as Data Analyst, Business Intelligence Analyst, or Data Scientist, with opportunities to advance into senior data roles.

 

 

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