Data Analyst Level 4

The primary role of a Data Analyst is to collect, organise and study data to provide business valuable insights. 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 and making recommendations. They have to have a good understanding of current practices to improve business, perform understanding of data structures, database systems and procedures and the range of analytical tools used to undertake a range of different types of analyses.

Data Analyst, Data Manager, Data Scientist, Data Modeler, Data Architect, and Data Engineer.

The duration of this apprenticeship is typically 24 months.

This is a level 4 apprenticeship.

Individual employers will set the selection criteria, but this might include five GCSEs and/or A levels; a Level 3 Apprenticeship; other relevant qualifications and experience; or an aptitude test with a focus on functional mathematics.

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 modeling 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 organization’s data architecture.

• 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.

• Underpinning Skills, Attitudes, and Behaviours.

• Logical and creative thinking skills.

• Analytical and problem-solving skills.

• Ability to work independently and to take responsibility.

• Can use own initiative.

• A thorough and organised approach.

• Ability to work with a range of internal and external people.

• Ability to communicate effectively in a variety of situations.

• Maintain a productive, professional, and secure working environment.

Level 2 English and Maths will need to be achieved prior to taking the end-point assessment.

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.

Take a look at our full list of Digital Apprenticeships.