The Data Analyst apprenticeship is designed for ambitious data specialists looking to further their career in data analytics. Apprentices will gain the skills that successful data analysts need in order to transform data into actionable insights and support organisational decision-making.

This Level 4 programme is ideal for junior, departmental, and marketing data analysts working within a range of sectors such as finance, operations, HR, engineering and marketing. Upon completion of this apprenticeship, learners will gain the knowledge and skills to harness organisational data effectively through accurate analysis of complex data sets.

What’s Included

Programmes tailored to your organisation

Free practical short courses

Personalised support

Dedicated mentor

Study Options and Start Dates

Our apprenticeships are taught via live online workshops, supported by a one-to-one monthly trainer meeting with our subject experts. We have flexible start dates throughout the year. Get in touch with our team to find out more. 

What’s Involved

Apprenticeships

Our apprenticeships are delivered through a blend of virtual and face to face sessions, led by subject specialists. Our flexible delivery mode and small cohort sizes enable us to tailor apprenticeship programmes to your unique requirements.

During their time on the programme, apprentices will cover a range of core areas and topics including:

  • Data Governance and Compliance
  • Data Analysis Techniques
  • Data Management and Integration
  • Data Analysis and Implementation
  • Data Security and Compliance.
  • Stakeholder Collaboration and Communication
  • Adaptability and Resilience
  • Problem-solving and Initiative
  • Collaboration and Independence

For apprentices aged 16-18, achieving Functional Skills qualifications in Maths and English is mandatory, unless already obtained the equivalent GCSE at grade 4/C or above.

For apprentices aged 19 and over, undertaking Functional Skills is optional but must be agreed with the employer.

Upon completion, Data Analyst Apprentices gain the following knowledge and skills, and will be able to exhibit the following behaviours:

Knowledge:

Data Governance and Compliance – Understand relevant legislation and data security standards to ensure that data is managed and used in a compliant, secure, and ethical manner.

Data Analysis Techniques – Knowledge of the principles of the data life cycle, the use of various analytical approaches and the application of statistical methods for analysing datasets.

Data Management and Integration – Understand the core concepts in data structures and database systems, including methods for integrating data from diverse origins.

Skills:

Data Analysis and Implementation – Application of the principles of data classification, implementing stages of the data analysis lifecycle, and utilising various analytical techniques.

Data Security and Compliance – Securely use data systems in accordance with procedures and legislation, while ensuring adherence to organisational requirements during data analysis activities.

Stakeholder Collaboration and Communication – Effectively collaborate and communicate with a range of stakeholders to present data using visual tools.

Behaviours:

Adaptability and Resilience – Be resilient considering obstacles and learning from setbacks, while remaining adaptable to changes within projects.

Problem-solving and Initiative – Demonstrate resourcefulness in tackling problems, identifying and resolving complex issues efficiently, and taking responsibility for ensuring lasting solutions.

Collaboration and Independence – Be able to work both independently and as part of a team, using logical and analytical thinking to approach tasks.

The Level 4 Data Analyst Apprenticeship is a pathway to progress further within the field of business analysis. This apprenticeship can support career progression towards the following roles:

  • Business Intelligence Analyst
  • Product Analyst
  • Senior Data Analyst
  • Data Scientist
  • Data Engineer
  • Data Analytics Manager
  • Customer Insights Analyst

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