Data Analysis (Apprentice) en the National Centre for Social Research
the National Centre for Social Research · London, Reino Unido · Onsite
- Oficina en London
Role: Data Analysis (Apprentice)
Location: London (and able to commute to other NatCen offices if required)
Salary: £20,500 [Pay will progress in line with the National Living Wage rate set by Government]
Department: Analysis & Innovation Hub
Contract: Apprenticeship – 2 Years fixed term contract - Level 4
This role will be expected to support the organisation in the collection, analysis, and interpretation of data related to various social research projects. 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.
Location: London (and able to commute to other NatCen offices if required)
Salary: £20,500 [Pay will progress in line with the National Living Wage rate set by Government]
Department: Analysis & Innovation Hub
Contract: Apprenticeship – 2 Years fixed term contract - Level 4
This role will be expected to support the organisation in the collection, analysis, and interpretation of data related to various social research projects. 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
- 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 meeting with external stakeholders as needed to increase their understanding of the industry and facilitate comprehensive data collection and analysis efforts.
Level 4 Data Analyst apprentice role is a vital part of NatCen’s commitment to producing evidence-based research that drives positive social change.
To perform any other reasonable duties that NatCen may require that are consistent with the broad nature of the job.
Skills, Knowledge and Expertise
Technical Skills:
- Basic understanding of statistical software and programming languages such as R, Python, or SPSS.
- Knowledge of data collection methods and data cleaning techniques.
- Ability to perform basic data analysis and interpret results with guidance.
- Familiarity with data visualisation tools like Excel or Tableau.
- Basic understanding of database management and querying languages such as SQL.
- Awareness of data protection regulations and ethical considerations in research.
Soft Skills:
- Strong analytical and problem-solving skills.
- Attention to detail and accuracy.
- Effective communication skills, both written and verbal, for presenting data findings to various audiences.
- Ability to work collaboratively within a team and contribute to collective goals.
- Time management skills to handle multiple tasks and meet deadlines.
- Adaptability and willingness to learn new techniques and tools.
Essential skills and attributes criteria
- A passion for social research and a commitment to contributing to societal improvements.
- Curiosity and a proactive approach to identifying and solving data-related challenges.
- Reliability and a strong sense of responsibility in handling sensitive data.
- Enthusiasm for continuous learning and professional development.
- An open-minded and inclusive attitude, valuing diverse perspectives in research.
Qualifications
- A minimum of five GCSEs at grades A*-C/9-4, including Mathematics and English.
- A-levels or equivalent qualifications, preferably with a focus on Mathematics, Statistics, Computer Science, or related subjects.
- No prior experience in data analysis is required, but a keen interest in developing skills in this area is essential.
- Eligibility to enrol in a Level 4 Data Analyst apprenticeship programme.
NatCen requirements:
- Maintain high ethical standards
- Demonstrate knowledge and awareness of all responsibilities in relation to maintaining confidentiality with both written and oral communication
- Actively conform to the legislative and procedural requirements in relation to the collection, management, storage and destruction of data
- Follow the requirements of our Operating Standards, and also to meet the requirements of all our ISO standards
- Other duties which may be required from time to time
We are a Disability Confident employer. If you have a disability and wish to apply for this role, please let us know in the application questions below. This allows us to ensure you are considered for an interview if you meet the minimum criteria for the role. If you have any questions or need adjustments at any stage of our recruitment process, feel free to contact us on [email protected]
