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.

  • What will I learn?

    Data analysts assist companies to access and order the terabytes of data they accumulate or have access to and then make this accessible by visualising this data in real time dashboards.

    Youll learn the data life cycle including the different types of data,the differences between structured and unstructured data and the fundamentals of data structures, database system design, implementation and maintenance and apply the tools and techniques for data analysis, data visualisation and presentation. As part of the Level 4 Data Analyst youll be registered as a member with the British Computer Society and be on a fast track to a range of industry recognised qualifications, in demand by employers as seen in the example modules below.

  • Example modules

    • Microsoft Professional Diploma in Data Science
    • EMC Data Science Associate
    • Microsoft T-SQL Development Foundation
    • Microsoft Office Certifications in Word, Excel, PowerPoint
    • Hands on time solving problems with with Azure Machine Learning, Pentaho ETL, R, Microsoft PowerBI
  • How will I be assessed?

    You will be assessed through a mixture of computer based exams, workplace assessment, online portfolio evidencing examples of your work and a work based project.

  • Entry Requirements

    Youll need to have a minimum of 5 GCSEs grade A C (including English and Maths), a Level 3 Apprenticeship or A Levels with an interest in business and an aptitude for technology.

  • Progression & Career Opportunities

    Following successful completion of the apprenticeship you will have the opportunity to progress onto the Degree Apprenticeship Digital and Technology Solutions Professional. Career progression could include moving to roles including Data Analyst, Data Manager, Data Scientist, Data Modeller, Data Architect, Data Engineer.

  • Additional Information

    This apprenticeship is recognised for entry onto the Register of IT Technicians confirming SFIA level 3 professional competence and those completing the apprenticeship are eligible to apply for registration.

Course Image

Course Details

Qualification Level Apprenticeship
Study Mode Higher Education Course
Start Date Rolling programme
Duration To be confirmed Weeks
Course Code WST4DNDAT
Runs at


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