Data Analyst Apprenticeship
ZAYO GROUP UK LIMITED
London (E1 7PT)
Closes on Friday 19 December 2025
Posted on 14 November 2025
Contents
Summary
This apprenticeship is ideal if you’re curious, eager to learn, and enjoy working with numbers and detail. If you want hands-on experience, strong support, and the chance to make a real impact, this could be the perfect opportunity.
- Wage
-
£0 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday , 9am to 5.30pm.
38 hours a week
- Start date
-
Monday 5 January 2026
- 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
- Establish reporting needs and deliver insightful and accurate information
- Collect, compile and cleanse data
- Identify business problems and present insights to influence actions
- Identify, analyse, and interpret trends or patterns in data sets
- Summarise and present the results of data analysis to a range of stakeholders, making recommendations
- Interrogate and analyse data to root-cause data quality issues
- Support automation initiatives to enhance data processing and reporting
- Participate in cross-functional discussions to translate business needs into data-driven solutions
Where you'll work
Carbonnel Court
114 Whitechapel High Street
London
E1 7PT
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
LONDON VESTA COLLEGE LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
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
Training schedule
For the first six months, apprentices take part in hybrid weekly training, with tutor-led sessions every other week. On the alternate weeks, they focus on independent learning and completing tutor-assigned work. After the first six months, apprentices have a weekly session with their tutor or skills coach.
Requirements
Essential qualifications
GCSE in:
Other in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Presentation skills
- Number skills
- Analytical skills
- Logical
- Team working
- Ability to meet deadlines
- Collect data& establish facts
- Draw valid conclusions
About this employer
Zayo Group UK is a major, high-performance telecom infrastructure player in the UK, supplying fibre-based connectivity and data centre services to enterprises, carriers, and cloud providers.
After this apprenticeship
After completing this apprenticeship, learners can progress into roles such as Data Analyst, Reporting Analyst, Business Intelligence (BI) Analyst, or Junior Data Engineer. They may also choose to continue their development through higher-level apprenticeships, specialist data qualifications, or further training in analytics, BI tools, or data engineering pathways.
Ask a question
The contact for this apprenticeship is:
LONDON VESTA COLLEGE LIMITED
The reference code for this apprenticeship is VAC2000000651.
Apply now
Closes on Friday 19 December 2025
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