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Please note the gateway requirements specified on this page supercede those in the published EPA document as of 10 March 2020

Flexibilities agreed that are in line with the Covid-19 guidance on our website.

 

The EQA provider for this standard has agreed the following temporary flexibilities for this standard until further notice and has informed the relevant end-point assessment organisations.

 

Employers can request EPAO permission to allow apprentices to take the project at home.

Please note: This standard has been reviewed and an updated version is scheduled for release shortly. The revised content can be found by following this link and is currently for preview purposes ONLY

Until the revised content is formally published please continue to use the current standard as shown.

Overview of the role

Collect, organise and study data to provide business insight

Data analyst

Reference Number: ST0118

Details of standard

Role 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 issues. 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

Typical Job Roles:

Data Analyst, Data Manager, Data Scientist, Data Modeller, Data Architect, Data Engineer

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 maths.

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 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

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 productive, professional and secure working environment

Qualifications

The content of both knowledge modules are summarised below and further details are available in the occupational brief available from https://www.nsar.co.uk/digital-eqa/digital-apprenticeship-standards/

Apprentices with a learner start date on the Data Analyst Apprenticeship that is on or after 10 March 2020 must take and submit evidence of achieving both KM1 and KM2.

Achievement of the Dell EMC qualification remains acceptable evidence for apprentices already on programme that are registered on and undertaking the Dell EMC qualification or have completed it.
KM2 remains a mandatory requirement for all apprentices on this Data Analyst apprenticeship.

Knowledge Modules

Vendor or Professional Qualifications

Data Analysis Tools (for Level 4 Data Analyst

Apprenticeships)

No other vendor or professional qualifications mapped at this point in time

Data Analysis Concepts (for Level 4 Data Analyst

Apprenticeships)

None applicable at this point in time

English and Maths

Level 2 English and Maths will need to be achieved, if not already, 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.

Duration

The duration of this apprenticeship is typically 24 months.

Level

This is a level 4 apprenticeship.

Review Date

This standard will be reviewed in December 2017.


Crown copyright © 2020. You may re-use this information (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence. Visit www.nationalarchives.gov.uk/doc/open-government-licence

Status: Approved for delivery
Level: 4
Reference: ST0118
Version: 1.0
Approved for delivery: 23 March 2016
Route: Digital
Typical duration to gateway : 24 months (this does not include EPA period)
Maximum funding: £15000
Trailblazer contact(s): Enquiries.IFA@education.gov.uk
Employers involved in creating the standard: The Royal Signals, Microsoft, Cisco, John Lewis, the RAF, Optimity, Hewlett Packard, HMRC, the Home Office, Oracle, the NHS, IBM, Cap Gemini, Freedom Communications, BT, Arqiva

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Version log

Version Change detail Earliest start date Latest start date Latest end date
1.0 Approved for delivery 23/03/2016 Not set Not set