Data Analyst – Level 4


in Advanced Engineering and Manufacturing, Digital Technologies, Medical Engineering & Health care, Modern Methods of Construction and Offsite

Data Analyst – Level 4


Duration

24 Months (not including End Point Assessment)

Delivery Location

IoT Dudley

Delivery Partners
Dudley College


Delivery Model
  • Block release options available
  • Blended models available
Entry Requirements

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.

Occupational Profile

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.

More Courses in Advanced Engineering and ManufacturingDigital TechnologiesMedical Engineering & Health careModern Methods of Construction and Offsite

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