Data Analyst Apprentice
NSAR LIMITED
London (SE11 5EL)
Closes in 8 days (Wednesday 23 September 2026 at 11:59pm)
Posted on 14 September 2026
Contents
Summary
NSAR are looking for a Data Analyst to join our small team and support them with data, dashboards and explaining the story that the data shows. An interest in numbers, data and what it can show us would be an advantage.
- Wage
-
£25,800 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday-Friday 9am-5pm
35 hours a week
- Start date
-
Thursday 1 October 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
- Helping to collect, organise and check data so it's accurate and ready to use
- Learning to build reports and dashboards that help the business make better decisions
- Spotting patterns and trends in data, and helping explain what they mean
- Using tools like Excel, and eventually software such as SQL and Power BI, to analyse information
- Working closely with different teams to understand what questions they need answered
- Studying towards your Data Analyst apprenticeship qualification (Level 3/4) alongside your day-to-day work
Where you'll work
98 Vauxhall Walk
London
SE11 5EL
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA 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
Requirements
Essential qualifications
GCSE in:
- English (grade Pass)
- Maths (grade 7)
Desirable qualifications
A Level 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
- Number skills
- Analytical skills
- Team working
- Initiative
About this employer
NSAR is a not for profit organisation which supports the rail industry to deliver for the future. We provide a link between the industry, training providers and government to deliver the skills and competencies needed for the rail industry.
https://www.nsar.co.uk/ (opens in new tab)
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Data Analyst.
Ask a question
The contact for this apprenticeship is:
NSAR LIMITED
Kathryn Sanderson
Kathryn.sanderson@nsar.co.uk
02039318220
The reference code for this apprenticeship is VAC2000053195.
Apply now
Closes in 8 days (Wednesday 23 September 2026 at 11:59pm)