Data Analyst Level 4 Apprenticeship

Course overview

Launch your data-driven career with this Level 4 Data Analyst apprenticeship. Gain the skills and knowledge to collect, organise, and analyse data, providing valuable insights to improve business performance. Learn techniques like data mining, forecasting, and visualisation while mastering tools, databases, and data security. Ideal for aspiring data professionals looking to drive decision-making across industries.

For further information regarding this apprenticeship standard please visit the Institute for Apprenticeships website.

This course is delivered as part of the South Yorkshire Institute of Technology (SYIoT).

Course content

Interested in developing and understanding Data? If so, a Career in Data Analysis is for you.

Our Data Analyst apprenticeship equips learners with the advanced technical skills they need for their role, developing a core set of technical and academic skills.

Learners will therefore be able to undertake the following in line with organisational procedures and under supervision:

• Identify, collect and migrate data to/from a range of internal and external systems
• Manipulate and link different data sets as required
• Interpret and apply the organisations data and information security standards, policies and procedures to data management activities
• Collect and compile data from different sources
• Perform database queries across multiple tables to extract data for analysis
• Perform routine statistical analyses and ad-hoc queries
• Use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
• Assist production of performance dashboards and reports
• Assist with data quality checking and cleansing
• Apply the tools and techniques for data analysis, data visualisation and presentation
• Assist with the production of a range of ad-hoc and standard data analysis reports
• Summarise and present the results of data analysis to a range of stakeholders making recommendations
• Work with the organisation’s data architecture

Technical knowledge and understanding underpinning this apprenticeship includes understanding and applying:

• A range of data protection and legal issues
• Experiencing the data life cycle, different types of data, including open and public data, administrative data, and research data
• Understanding differences between structured and unstructured data, fundamentals of data structures, database system design, implementation and maintenance
• The importance of the domain context for data analytics
• Quality issues that can arise with data and how to avoid and/or resolve these
• Defining customer requirements for data analysis and the processes and tools used for data integration
• Steps involved in carrying out routine data analysis tasks and how to use and apply industry standard tools and methods for data analysis

Also, the aim is to make our learners professional practitioners and develop skills, attitudes and behaviours commensurate with the competency of this role. This includes applying logical and creative thinking skills, analytical and problem solving skills, developing the ability to work independently and in teams, developing and using initiative and communicating effectively in a variety of situations to a range of internal and external stakeholders.