Data Analyst Apprenticeship Level 4 Standard

Data Analyst Apprenticeship Level 4 Standard

Summary

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.

Course Content includes:

Underpinning Skills, Attitudes & 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
Knowledge Modules

Data Analysis Tools or EMC: Data Science associate
Data Analysis Concepts

You will complete the Level 4 Data Analyst Apprenticeship Standard.

This Apprenticeship will involve college attendance and off the job training.
You will also develop your knowledge, skills and behaviours.
You need to have an employer to support your Apprenticeship and be employed in a relevant job role.
The typical length of this Apprenticeship course is 24 months.
Contact our Apprenticeship Team to find out when our next course start date is.

If you already have an employer for your Apprenticeship, or would like more information on how to find an Apprenticeship, please click Apply Now.

If you are an Employer who is looking to recruit an Apprentice or already have someone you would like to enrol onto the Apprenticeship course, please contact our Apprenticeship Team on 01603 773365 or email [email protected] to discuss next steps.

Why Our College?

Get paid to train
Apprenticeships provide fantastic career opportunities and allow you to get a qualification and earn money at the same time
 
Designed for opportunity

94% of apprentices stay in work after finishing an apprenticeship, and 47% have received a promotion
 
Hands on learning

We work closely with employers to deliver training both on and off the job. In most cases, you’ll come into college one day a week, as well as getting planned training and development with a mentor in the workplace

Entry Requirements

Individual employers will set the selection criteria, but this is likely to include Level 2 Math & English functional Skills; a relevant level 3 apprenticeship / level 3 digital qualification or relevant work experience.

Addition day required in college for Functional Skills Maths, English and ICT if not already achieved or needed to up-skill, delivered on the monthly Masterclass day.

Learning Outcomes

Role and occupations available can include Data Analyst, Data Manager, Data Scientist, Data Modeller, Data Architect, Data Engineer

For the full Apprenticeship, candidates will complete:

Level 4 Data Analyst Apprenticeship Standard
Level 2 Functional Skills in English
Level 2 Functional Skills in Maths
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

Objective

You will learn about your rights and responsibilities as an employee and those of the employer with guidance from your work based assessor.

Assessment

Training and assessments are delivered in the workplace and in college. Apprentices will be required to attend college-based sessions as part of their training, whilst also completing off-the-job training in the workplace. You will also complete assessments and observations in the workplace.

You will need to complete Level 2 Maths and English before End Point Assessment.

At the end of the Apprenticeship you will complete an End Point Assessment which will comprise of:

Employer reference based on knowledge, skills and behaviours
Summative Portfolio providing evidence against the totality of the standard
Synoptic Project – please note this requires a week out of the workplace towards the end of the apprenticeship
Interview with independent end point assessor
 
Progression

Data Scientist; work place progression

Career Progression

Career or academic progression may include continuation, development or promotion at work or within the business sector, progression onto an Advanced Apprenticeship, Higher Apprenticeship or higher education.

Fees

Apprenticeship course fees are subject to the age of the apprentice, the payroll of the employer and the number of employees. Course fees are paid by the employer and not the apprentice. Employers who take on an apprentice aged between 16-18 years old, or with an Educational Health Care Plan, will receive an Incentive Payment to help cover their costs. To discuss Apprenticeship course fees, employers should contact the Apprenticeship Team on 0800 328 3616 or email [email protected]. For more information on recruiting an apprentice or if you would like to train your existing staff please contact our Employer Partnerships Team on 0800 328 3616 or email [email protected]