Data Analyst Level 4 Apprenticeship (FCMP)

Information and Communication Technology

Information and Communication Technology
Information and Communication Technology
We are only accepting one application per candidate.

What will you be working towards?

Code BC311
Qualification Type Apprenticeship
Qualification Level Level 4
Course type Full Time

Overview

Are you Interested in turning data into a story? Learn to provide excellent support as a Data Analyst


The primary role of a Data Analyst is to collect, organise and study data to provide business insight. Typically involved with managing, cleansing, abstracting and aggregating data, and conducting a range of analytical studies on that data, a Data Analyst works across a variety of projects, providing technical data solutions to a range of stakeholders/customers issues.


As well as documenting and reporting results of data analysis activities and making recommendations to improve business performance, practitioners 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.

Details

Interested in developing and understanding Data? If so, a Career in Data Analysis is for you.


Our Data Analyst apprenticeship equips learners with the advanced technical skills they need for their role, developing a core set of technical and academic skills.


Learners will therefore 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

Work with the organisation’s data architecture

Technical knowledge and understanding underpinning this apprenticeship includes understanding and applying:


A range of data protection and legal issues

Experiencing the data life cycle, different types of data, including open and public data, administrative data, and research data

Understanding differences between structured and unstructured data, fundamentals of data structures, database system design, implementation and maintenance

The importance of the domain context for data analytics

Quality issues that can arise with data and how to avoid and/or resolve these

Defining customer requirements for data analysis and the processes and tools used for data integration

Steps involved in carrying out routine data analysis tasks and how to use and apply industry standard tools and methods for data analysis

Also, the aim is to make our learners professional practitioners and develop skills, attitudes and behaviours commensurate with the competency of this role. This includes applying logical and creative thinking skills, analytical and problem solving skills, developing the ability to work independently and in teams, developing and using initiative and communicating effectively in a variety of situations to a range of internal and external stakeholders.

How will it be delivered?

On Programme Assessment will include a mixture of:


Practical demonstrations

Work based projects

Written assessments

Portfolio

Observations

End Point Assessment

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.


You will need to find an employer to employ you as an apprentice. 

Your next steps...

You can progress onto higher level degree and/or apprenticeship study or apply for a vast array of digital roles that include:

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