24 Months (not including End Point Assessment)
- Block release options available
- Blended models available
Individual employers will set the selection criteria, but this might include 5 GCSEs and/ or A Levels; a Level 3 Apprenticeship; other relevant qualifications and experience; or an aptitude test with a focus on functional Mathematics. Level 2 English and Mathematics will need to be achieved, if not already, prior to taking the end point assessment.
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. 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.
Training and Development Summary
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
- Works with the organisation’s data architecture.
Technical Knowledge and Understanding
- The range of data protection and legal issues
- The data life cycle
- The different types of data, including open and public data, administrative data, and research data
- The differences between structured and unstructured data
- The fundamentals of data structures, database system design, implementation and maintenance
- The importance of the domain context for data analytics
- The quality issues that can arise with data and how to avoid and/or resolve these
- The importance of clearly defining customer requirements for data analysis
- The processes and tools used for data integration
- The steps involved in carrying out routine data analysis tasks
- How to use and apply industry standard tools and methods for data analysis.
End Point Assessment
At Level 4 the EPA will consist of a portfolio of evidence, a project, an employer reference and a structured interview with an assessor.
Professional Recognition and Career Progression
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.
Upon completion of this qualification, students will have the opportunity to progress to a BSc Data Science programme.