Hire a Data Analyst Apprentice | Develop your team | Apprentify
Apprentices
Employers
Courses
About Us
Employers

Data Analyst Apprentice

Discover Apprentices

Why take on a Data Analyst Apprentice

The Level 4 Data Analyst Apprenticeship has been developed to play a significant role in business growth. The primary role of a Data Analyst is to collect, organise and study data to provide business insight. The analysis helps ensure your business stays competitive notwithstanding operational and environmental change. They can predict what the market demands before it happens to provide you with strategic advantages.

Why invest in a Data Analyst Apprentice

Investing in a Data Analyst apprentice will benefit you immediately, but more importantly, it will prepare you for the future. Apprentify sources remarkable data analyst talent for your organisation. Every one of our candidates is assessed on their cultural fit as well as essential skills set, and none are put forward to you without first passing our digital, behavioural and technical tests.

%

of an apprentice’s hours are all dedicated to the business, with only 20% minimum being set aside for apprenticeship related learning and tasks.

 

%

of employers were aware of the Apprenticeship Levy, which leaves 63% unaware that any business (that earns less than £3m) can have most apprenticeship costs offset.

 

%

of apprentices chose to or were kept on at the end of an apprenticeship and remained in full-time employment.

%

of your apprenticeship cost could be covered through the apprenticeship levy.

Technical Skills Learnt

Throughout the Data Analyst apprenticeship, your apprentice will learn a variety of technical skills and abilities which will greatly benefit them and the business they work for. We teach these mostly through online sessions, where the fresh recruit will find themselves amongst similar apprentices who are learning at the same time.

40%
Data Analysis
30%
Data Collection and Manipulation
30%
Data Architecture requirements
20%
Maths and English skills
30%
Punctuality skills
30%
Communication and Interpersonal skills training

General skills Learnt

Not only are the technical abilities learnt an important aspect of any apprenticeship, but also the general skill development of an employee’s recruit. The apprentice’s very own Development Coach is a helpful aspect of our apprenticeship offering. They are available to track progress and provide support, including with Maths and English skills or punctuality.

A Data Analyst Apprentice Learner Journey

A Data Analyst apprentice has quite the journey from when they first start with possibly very little skill, all the way to passing their endpoint assessment and having an index of knowledge.

 Unit 1 - Learning about Business Domain
Unit 1 - Learning about Business Domain

During Unit 1, learners will discover the importance of the business domain context, the principles of user experience and how to use organisational tools, like Trello, OneNote, Gantt charts, STAR technique, Infographics, Version control. They will learn about the principles of what makes a good report and what are the stages of writing it.

 

 

Unit 2 - Requirements and Data Architecture
Unit 2 - Requirements and Data Architecture

During Unit 2, learners will explore the stages of the Data Analytics lifecycle as well as the Data lifecycle and the differences between them. They will recognise the factors of good quality data, learn about types of requirements and how to gather them, Big data and why it is important to understand. Finally, they will be able to identify the functions of data architecture, giving them access to identify their own data architecture used in the workplace.

Unit 3 - Collection and Manipulating Data (part 1)
Unit 3 - Collection and Manipulating Data (part 1)

This unit is spread over 2 months. During Unit 3, learners will begin their journey into data analysis. They will follow the ETL process starting with collecting, integrating, validating and verifying data from multiple sources and in different formats.

Unit 3 - Collection and Manipulating Data (part 2)
Unit 3 - Collection and Manipulating Data (part 2)

During the second month of Unit 3, learners will continue exploring different data structures. They will learn how to filter, clean, transform, manipulate or deal with missing data. The learning will be hands-on, applying all these in many projects, using quantitative and qualitative data.

Unit 4 - Initial Data Analysis and Data Visualisation (part 1)
Unit 4 - Initial Data Analysis and Data Visualisation (part 1)

This unit is spread over 2 months. In the first month of Unit 4, the learners will be introduced to relational databases and NoSQL. They will understand how databases work, will learn about database types, relational models, RDBMS and NoSQL characteristics. They will design databases and then will use SQL Server Management Studio to implement and interrogate databases, using SQL language. 

 

Unit 4 - Initial Data Analysis and Data Visualisation (part 2)
Unit 4 - Initial Data Analysis and Data Visualisation (part 2)

In the second month of this unit, learners will learn about Data visualisation, using Power BI for desktop. Here they will learn how to integrate and transform data and how to generate interactive dashboards for different audiences.

Unit 5 - Statistical Analysis and Predictive Analytics (part 1)
Unit 5 - Statistical Analysis and Predictive Analytics (part 1)

This unit is spread over 2 months. During the first month of Unit 5, learners will explore statistical analysis methods. They will identify different types of analysis, apply Statistics & Hypothesis testing of different scenarios and identify and predict trends and patterns using Machine Learning algorithms like Clustering, Text mining.

Unit 5 - Statistical Analysis and Predictive Analytics (part 2)
Unit 5 - Statistical Analysis and Predictive Analytics (part 2)

In the second month of this unit, learners will continue with Machine Learning algorithms. They will identify and predict trends using the Linear & Logistic Regression algorithms. They will apply these algorithms in many projects using R language. Finally, they will use data sets and job-related scenarios to apply their new skills in the work environment.

Unit 6 - Time Series Analysis & Sharing the Results (Part 1)
Unit 6 - Time Series Analysis & Sharing the Results (Part 1)

This unit is spread over 2 months. In the first month of Unit 6, learners will continue with Machine Learning algorithms - Time Series analysis and forecasting. The goal of these methods is to understand the past trends and to make a forecast for the future. They will learn about other aspects necessary when dealing with Time Series: stationary data, seasonality, autocorrelation. 

Unit 6 - Time Series Analysis & Sharing the Results (Part 2)
Unit 6 - Time Series Analysis & Sharing the Results (Part 2)

In the second month of Unit 6, learners will learn about another useful algorithm in Machine Learning - Classification. Finally, for communicating the results of all these data analysis methods, the learners will learn how to share them with internal or external clients. They will be presented methods for summarising and presenting results like dashboards, tailored reports and recommendations.

Data Analysis with Python
Data Analysis with Python

During this unit, learners will apply everything they have learnt about manipulating and analysing data using another language – Python. They will learn about data types and data structures, data pre-processing with NumPy, data cleaning & pre-processing with Pandas and how to apply Machine Learning algorithms and data visualisation in Python.

EPA Readiness Portfolio
EPA Readiness Portfolio

Learners will have approximately 4 months to prepare for Gateway. They will consolidate the portfolio that they have built throughout the course.

success stories
Harley Mae-Marley
It took us a few attempts to find an apprenticeship provider who was able to fit our specific requirements. We love Apprentify's process and their customer service. As a result of that, we hired six apprentices! We will definitely be using Apprentify again. If you are looking to hire apprentices to join your company, we couldn't recommend Apprentify enough!

Harley Mae-Marley

Business Development at Digital Media Team

Sarah Comerford
Since the very first phone call, the entire team that I have dealt with have been nothing short of exceptional! They have been communicative and supportive when going through the whole process.

Sarah Comerford

Client Services Director at Purple Creative Studios

Ross Green
Working with Apprentify is and always has been an easy and smooth process. From the superb range of candidates to the coaching, we believe that Apprentify has one of the best digital marketing programmes and talent providers we have ever worked with.

Ross Green

Managing Director at Embryo Digital

Kelly Gilmour Grassam
Apprentify was extremely helpful in guiding us through the process and what to expect. The experience was very smooth, and within the space of weeks we had found the perfect apprentice!

Kelly Gilmour Grassam

Director at Making you Content

Our industry partners

JD Group
Liverpool
Pets at Home
Mag
Greater Manc Transport

Find out more today

Get in contact with one of our lovely members of staff to find out more and discover how we are helping organisations across the UK become future-ready.

Call us on: 0333 996 0165

Fill out your details below and one of our expert team members will be in touch!
Select a file...

Or email us at info@apprentify.co.uk