Digital & technology · LEVEL 4

Data Analyst

Develop practical technical skills and explore your next opportunity in the digital workplace.

Illustrative digital & technology · level 4 training context

Duration: 24 months
Delivery: Blended learningLondon & England
Entry requirements: Individual employers will set the selection criteria, but this might include five GCSEs and/or A levels; a Level 3 Apprenticeship; other relevant…Read more
Funding: Depends on your employer and circumstances. We will explain what applies.How funding works

Course Overview

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.

Typical Job Roles

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

Duration

The duration of this apprenticeship is typically 24 months.

Level

This is a level 4 apprenticeship.

Entry Requirements

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.

Technical Competencies

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.

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. 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.

English And Maths

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

Professional Recognition

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.

Detailed specifications retained from the existing programme information. Confirm current availability, entry requirements, fees and funding with the team before enrolment.

Interested in the Data Analyst apprenticeship?

Tell us a little about you and your role. We will confirm availability, entry requirements and funding for this programme.

Enquire about this programme 020 7247 5497

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Data Analyst

Programme at a glance