Introduction

The primary role of a data analyst is to collect, organise and study data to provide business insight. Data analysts are typically involved with managing, cleansing, abstracting and aggregating data, and conducting a range of analytical studies on that data. They work across a variety of projects, providing technical data solutions to a range of stakeholders/customers issues. They document and report the results of data analysis activities making recommendations to improve business performance. They have a good understanding of data structures, database systems and procedures and the range of analytical tools used to undertake a range of different types of analyses.Typical job roles include data analyst, data manager, data scientist, data modeller, data architect and data engineer.

Entry requirements

Individual employers will set the selection criteria, but this might include five GCSEs and/or A Levels/BTEC. Generally suggested prerequisites to starting the apprenticeship are:

Functional skills

Apprentices will be required to have or achieve Level 2 English and maths prior to completion of their apprenticeship. If this has already been achieved, then development of further English and maths skills will continue for the whole of the apprenticeship.

Duration

The duration of this apprenticeship is typically 24 months.

Progression

As well as achieving the EMC Data Science Associate qualification, this standard provides the foundation for progression into a number of career paths in the data analysis and informatics sector.

Funding

This apprenticeship is set at Level 4 and in funding band 11. Levy paying employers may fund apprentices on this programme from their Apprenticeship Account and non-levy paying SMEs through the co-funded option. There may be a small fee for some SMEs.

End assessment

To achieve this apprenticeship standard, the employer, training provider and apprentice will agree when the apprentice is ready and competent to undertake the independent end assessment, which will test their skills knowledge and behaviours required for this role.

• Must be able to demonstrate the ability to organise and manipulate data in Microsoft Excel using the data analyst module and be able to represent the data in a suitable format. Level of experience example - ECDL Excel Level 3
• Be able to demonstrate knowledge of a programming language appropriate to data analysis, for example Matlab, SQL, R
• Must be able to demonstrate an appropriate level of experience in database structures and management
• Significant work experience in the informatics or data analytics sector.