Data Analysis Apprentice for NATIONAL CENTRE FOR SOCIAL RESEARCH
NATIONAL CENTRE FOR SOCIAL RESEARCH
London (EC1V 0AX)
Closes in 23 days (Sunday 28 September 2025)
Posted on 3 September 2025
Contents
Summary
A Level 4 Data Analyst apprentice at the National Centre for Social Research (NatCen) will be expected to support the organisation in the collection, analysis, and interpretation of data related to various social research projects.
- Wage
-
£20,500 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday - Friday, 9.00am - 5.00pm.
35 hours a week
- Start date
-
Monday 29 September 2025
- Duration
-
2 years
- 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
The role involves working closely with senior researchers and data professionals to ensure the accuracy and reliability of data used in studies that inform public policy and social programmes.
The role fits within NatCen by contributing to the robust analysis and interpretation of data, which underpins the organisation's research outputs. The Analysis team collaborates closely with other functions to ensure that data-driven insights are accurately reflected in reports and publications that influence policy decisions.
The team’s work covers a wide range of social policy areas. The apprentice will support a wide range of projects on topics such as public attitudes, inequalities, crime and justice, national travel, health and education.
Key responsibilities of the apprentice include:
- Assisting in the collection and preparation of data from diverse sources, ensuring its accuracy and readiness for analysis
- Performing data analysis using statistical software and programming languages, identifying trends and patterns that provide meaningful insights
- Creating detailed reports and visualisations to present findings clearly and effectively to stakeholders
- Collaborating with research teams to support the design and implementation of research methodologies
- Maintaining high standards of quality assurance by adhering to NatCen’s protocols for data accuracy, reliability, and ethical considerations
- Engaging in professional development to enhance analytical skills and stay current with advancements in data analysis techniques and tools
On a day-to-day basis, the apprentice will have regular contact with other Analysis team members. The apprentice will also interact with other data professionals, senior researchers, and project managers across NatCen.
This interaction will provide guidance, support, and mentorship to help the apprentice develop their skills and understand the practical applications of data analysis in social research. Additionally, the apprentice may attend meetings with external stakeholders as needed to increase their understanding of the industry and facilitate comprehensive data collection and analysis efforts.
The Level 4 Data Analyst Apprentice role is a vital part of NatCen’s commitment to producing evidence-based research that drives positive social change.
Where you'll work
35 Northampton Square
London
EC1V 0AX
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
THE WKCIC GROUP
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
Data Analyst Level 4 Apprenticeship Standard
Requirements
Essential qualifications
GCSE in:
- English (grade 5)
- Maths (grade 5)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- IT skills
- Communication skills
- Attention to detail
- Organisation skills
Other requirements
They must be able to commute to the London office and, as and when required, to our Harold Wood (RM3) office. Pay will progress in line with the National Living Wage rate set by the Government. Three days in office (60%), one day working from home (20%) and one day studying (20%).
About this employer
The National Centre for Social Research (NatCen) is a registered charity and is the largest independent and not-for-profit social research organisation in the UK. At the National Centre for Social Research, we're driven by the belief that social research has the power to make life better. Our research influences policy makers, practitioners, academics and the media, shaping our understanding of the world we live in and how it is changing. We have offices based in London (Islington); Harold Wood; Edinburgh. We have a staff workforce of 420 with around 700 interviewers/ freelancers.
After this apprenticeship
- Once our apprentice has successfully completed the apprenticeship programme, they will have the skills, knowledge and qualifications to pursue an ongoing career at NatCen depending on business requirements
Ask a question
The contact for this apprenticeship is:
THE WKCIC GROUP
The reference code for this apprenticeship is VAC1000340354.
Apply now
Closes in 23 days (Sunday 28 September 2025)
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