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Home › Apprenticeships › Software Development & AI › Apprenticeship – Data Analysis & Statistics
Turning data into decisions
Overview
Data science jobs are projected to grow by 28% by 2026, far faster than most other fields—showing the rising demand for analytical skills.
Middlesbrough is becoming one of the UK’s data‑driven powerhouses — with local employers reporting a 45% rise in demand for data analysts since 2023, and apprentices earning up to £25,000 while training.
Not sure where to begin? We’ve got you covered. Book a free consultation and let our team guide you toward the right path for your future career.
Did you know
Specialist AI job postings in the UK grew 61% in a year, adding 68,000 roles — while overall job vacancies fell by 6.6%.
Source: PwC 2026 AI Jobs Barometer, June 2026 · checked 13 August 2026
Why do it this way
Apprenticeships allow you to learn valuable skills and gain critical work experience while earning a wage. Apprenticeships are entitled to the National Minimum Wage for apprentices.
Apprenticeships combine on-the-job and off-the-job training. As a full-time apprentice, an average of 6 hours a week are dedicated to off-the-job learning. The combination ensures you have the knowledge and practical skills to excel in your chosen career.
At the end of your training, you’ll have gained nationally recognised qualifications. Our team will be by your side throughout the journey, helping you overcome any barriers to success.
Many employers often retain the vast majority of apprentices who have completed their training. In addition, many of these employees gain new responsibilities, promotions and pay increases.
Questions
The Data Analysis & Statistics Apprenticeship is between 12-15 months.
The Awarding Body of this Apprenticeship is City & Guilds, a highly prestigious Awarding Body, responsible for awarding over 95% of Apprenticeships in the UK.
You will learn: What is Data Analysis – Understanding data structures, variables, data ETL (extraction, transformation, loading), data visualisation and formatting. • What are the regulations and laws surrounding data – Understanding how to handle data safely and lawfully. • How to use Data Analysis software applications:Microsoft Excel – how to use Excel for data entry, processing and management.Microsoft Power BI – how to use Power BI to manage and visualise data.Python Programming – how to use Python programming to analyst datasets.R Programming – how to use R programming to analyse datasets.SQL Database Management – how to use SQL to query data from databases.Tableau – how to use Tableau for data processing and visualisation. • Data Presentation – Learn how to present data in a professional environment. • Communication – Learn how to communicate data insights successfully. • Final Project – Complete a final project showcasing your Data Analysis expertise. • Demonstrate over 450 hours of real-life applications and experience.
To be accepted onto the Data Analysis & Statistics Apprenticeship, you must: Age: be 16 years old or over. • Residency: Live in England and have the right to work in the UK. • Education Status: Not be in full-time education. • Employment: Be employed in a contract that allows for training. If you fulfil all these requirements, you are fully eligible to enrol onto the Apprenticeship.
You will receive a Level 3 Data Analyst qualification, a lifetime qualification.
To fulfil all the criteria for the Apprenticeship, you will need to complete: Summative Portfolio – a document showing your Knowledge, Skills and Behaviours (KSB’s) that meet the standards of the qualification. • Final Project – a document showing demonstration of the standards in a final project of your choice. • 450 hours of On-the-Job (OTJ) training – to be completed with your employer. • End-Point Assessment (EPA) – where you present your final project to an examiner.
Yes, you will be supported by: Your Training Provider – you will check-in on you regularly. • Your Tutor – who you must attend 1-to-1 meetings with regularly. • Your Employer – who is required to allow you time to complete your apprenticeship.
Data Analysis is a lucrative career, providing an array of future prospects professionally and academically: Business Intelligence Analyst– A professional data analyst is a valuable asset to every organisation to discover data-driven insights to make company decisions. • Data Analyst – Ideal for both industry and academic professions where analysing large datasets is a vital skill. • Data Scientist– With further training, the graduate can expect to enter roles that require advanced and complex solutions.
Careers & pay
Median advertised salaries for UK permanent roles citing these certifications. Medians, not averages — half of adverts pay more. We publish the sample size and the date so you can check them yourself.
Source: ITJobsWatch. Figures checked 13 August 2026 and reviewed every six months. Salaries vary by region; these are UK-wide.
The practical bit
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