Data Analyst

Level 4 Apprenticeship Standard

Data Analyst: THE ROLE

The broad purpose of the Data Analyst’s occupation is to ascertain how data can be used in order to answer questions and solve problems. Data analysis is a process of requirement-gathering, inspecting, cleansing, transforming and modelling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names. In today's world, data analysis plays a crucial role in making decisions more evidence-based and helping organisations operate more effectively.

 

For example: a data analyst may investigate social media trends and their impact on the organisation. In retail, a data analyst may break down sales figures to make recommendations on product placement and development. In HR a data analyst may investigate staff retention rates, in order to decide on recruitment strategy. In a hospital, a data analyst may investigate wait times for different departments, in order to provide a better service to its patients. 

 

ABOUT THIS APPRENTICESHIP

  • Qualification Topics

    • Legislation and its application to the safe use of data
    • Principles of data life cycle and the steps involved in carrying out routine data analysis tasks
    • Principles of data-open, public, administrative and research
    • Fundamentals of data structures, database system design and its implementation and maintenance
    • Principles of user experience and domain context for data analytics
    • Quality risks inherent in data an dhow to mitigate and resolve this
    • Approaches to organisational tools and method, combining data from different sources and approaches to defining customers requirements
    • Principles of statistics for analysis datasets
    • Principles of descriptive, predictive and prescriptive analytics
    • Ethical aspects associated with the use and collation of data

  • What's Involved

    • On the job skills training
    • Off the job skills training 
    • Level 2 Functional Skills in English & Maths
    • Support with building portfolio
    • Planning, Target Setting and Feedback
    • Mock End Point Assessments 

    End Point Assessment (after at least 12 months and successful completion of the above-complete the activities in any order):

    • 40 min Presentation with questioning based on the project completed after the Gateway
    • 60 minute Professional Discussion based on the portfolio submitted at Gateway leading to the certificate as a Pass, Merit or Distinction.

  • Knowledge and Skills

    This occupation is found in any employer in any sector that uses data to make business decisions. Data analysts may work in various departments within a single employer, (for example finance, sales, HR, manufacturing, or marketing), and in any employment sector, public or private, including retail, distribution, defence, banking, logistics, media, local government etc. 

Duration

This Apprenticeship is typically completed in 13 months.

Delivery

Delivered online with remote support from Rewards Training throughout the apprenticeship.

Progression

The Learning & Skills Mentor could progress further within their vocation specialism and/or into roles involving the assessment and coaching of vocational learners. They may also be eligible to progress onto a full teaching role within an education and training provider organisation.