Data Analyst Apprentice

Summary

This is your chance to gain hands-on experience in a fast-paced, fun environment while working towards a Data Analytics Level 4 qualification. If you have a strong analytical and problem-solving skills, excellent attention to detail, and a basic understanding of CRM systems and data analysis tools, we want to hear from you!

Wage

£27,000 a year

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Training course

Data analyst (level 4)

Hours

Monday to Friday 9am - 5.30pm

37 hours a week

Start date

Wednesday 21 May 2025

Duration

1 year 6 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you’ll do at work

Help us make smarter decisions to boost our marketing campaigns, engage customers, and drive business success
Create Cool Dashboards: Design performance dashboards and reports that make data come to life
Master CRM Data: Keep our CRM system in tip-top shape with accurate and consistent data
Build Reports: Use tools like Excel, Power BI, or Google Data Studio to create and maintain eye-catching reports and dashboards
Analyse and Interpret: Dive deep into marketing and customer data to uncover insights and make recommendations
Support Smart Decisions: Develop reports that help the team make informed decisions, ensuring compliance with GDPR and other regulations
Spot Trends: Identify patterns in customer behaviour to craft targeted marketing strategies

Where you’ll work

International House
1 St. Katharines Way
London
E1W 1UN

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

QA LIMITED

Your training course

Data analyst (level 4)

Equal to higher national certificate (HNC)

Course contents

Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
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
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome
Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
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
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome

Your training plan

This training plan has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

More training information

Why choose our Data Analyst apprenticeship?

QA's Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.

The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing.

At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.

QA's Data Analyst Level 4 apprenticeship programme enables your organisation to:

Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders
Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace
Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent

Delivered by industry experts with real-world experience, the programme’s content has been designed around real-life skills and includes the additional PL-300 Microsoft Power BI Data Analyst certification (see below). The technical content aligns to and is relevant to employers and the market.

Upon successful completion, learners will be awarded the Data Analyst Level 4 apprenticeship.

Tools and technologies learned:

Learners will learn to use visualisation tools such as (PowerBI, Tableau), SQL Server, SSIS, Python and R programming languages, and Cloud Technologies such as: Azure, AWS, GCP.

Requirements

Essential qualifications

GCSE in:

5 including Maths & English (grade 4 (C) or above)

Desirable qualifications

A Level in:

Similar subject (grade Any)

BTEC in:

Similar subject (grade Any)

Other in:

Similar subject (grade Any)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

IT skills
Attention to detail
Problem solving skills
Analytical skills

Other requirements

Interested? QA offers the very best in data apprenticeship training. Apply today and you could be starting your new career in a matter of weeks.

About this company

QA is a powerhouse in the world of tech training, renowned for our innovative approach and commitment to excellence. As the largest tech training provider in the UK and the fastest-growing in the US, QA empowers people to master the latest skills in AI, cloud computing, data, and digital technologies

Company benefits

These include: 27 days holiday each year, holiday buying scheme, Medicash plan, Gympass, Cycle to Work scheme, Employee Assistance Programme, 2 days per year charity leave and hybrid working.

After this apprenticeship

You’ll have the unique opportunity to develop your skills on our QA authored courses in the latest tech (you’ll get 3 training days/year to do this). You can also delve deep into our world-class digital learning content from Circus Street and Cloud Academy on a variety of tech and business topics. Or perhaps you’d like to enrol on an apprenticeship programme to enhance your skillset or learn new things.

Ask a question

The contact for this apprenticeship is: