Data Assistant (EG) inEdinburgh inEdinburgh PUBLISHED FRI 27 DEC 2024

NHS

NHS Lothian rd3KVzM

Contributing to patient care by ensuring accurate data processing and supporting the qFIT screening results.

Being part of a diverse and inclusive workforce that values equality and representation.

Opportunity for professional development and learning within a supportive clinical environment.

Engaging in meaningful work that has a direct impact on clinical governance and service development.

Working within the NHS, a respected and reputable organization dedicated to public health.

Experience in administrative tasks that enhance organizational skills, such as document scanning, filing, and data entry.

Collaboration with healthcare professionals, providing a chance to learn from experts in the field and understand the healthcare system better.

The role of "203501 Data Assistant (EG)" at NHS Lothian in Edinburgh involves providing essential data processing support for the qFIT Team within the colorectal service. Key responsibilities include data entry, managing follow-ups on patients sent qFIT, tracking patient outcomes, scanning and verifying documents, and general administrative tasks. The position aims to ensure the accurate and timely provision of clinical data, aiding the Colorectal team in patient care, clinical governance, and service development while maintaining high standards of data processing.

NHS Scotland emphasises diversity and equality in its workforce, encouraging applications from all sections of society. Interested candidates should note the potential for early closure of applications due to high interest and are advised to apply promptly. For further details regarding the role and required skills, applicants are encouraged to review the job description and person specification linked in the posting.

NHS Scotland is committed to encouraging equality and diversity among our workforce and eliminating unlawful discrimination. The aim is for our workforce to be truly representative and for each employee to feel respected and able to give their best. To this end, NHS Scotland welcomes applications from all sections of society.

To provide data processing support for the qFIT Team which is based within the colorectal service. This role will include data entry, supporting the results from qFIT screening, following up on patients who have been sent qFIT, following up on patient outcomes as necessary, scanning and verifying documents, filing, photocopying, and supporting the general administration of the department.

To ensure efficient, accurate and up-to-date provision of clinical data with the support of the Colorectal Directorate and staff in order that the Colorectal team have meaningful information for patient care, clinical governance, and service development.

To ensure that high standards of data processing are maintained.

NHS Scotland is committed to encouraging equality and diversity among our workforce and eliminating unlawful discrimination. The aim is for our workforce to be truly representative and for each employee to feel respected and able to give their best. To this end, NHS Scotland welcomes applications from all sections of society.

Please note: we anticipate a high level of interest in this position and may close the vacancy early once a sufficient amount of applications are received. Therefore, please make sure you complete and submit your application at an early stage

For further information on what is included in the role and what skills/experience are being looked for, click on the links at the bottom of the screen to the job description and person specification. If after reading this information you have any questions please contact

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More about the NHS

The National Health Service (NHS) is a cornerstone of healthcare in the United Kingdom, established in 1948 with the simple yet profound principle of providing healthcare to all citizens, free at the point of use. This revolutionary system aimed to ensure that access to medical services would not depend on an individual’s financial situation, a concept that has since become fundamental to British societal values. Learn more...

Useful skills for a Data Assistant (EG): Click to view

To work as a Data Assistant in the UK, especially in roles related to data entry, data management, or data analysis, you'll typically need a combination of technical skills, analytical skills, and soft skills. Here’s a rundown of essential skills:

Technical Skills:

1. Data Entry Skills: Proficiency in typing and data input. Accuracy and attention to detail are critical.

2. Software Proficiency: Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) and database systems (e.g., Microsoft Access, SQL).

3. Data Management: Understanding of data organization, storage, and retrieval processes.

4. Data Analysis Tools: Knowledge of basic data analysis tools and software, such as programming languages (R, Python) or analytics platforms (Tableau, Power BI).

5. Statistical Knowledge: Basic understanding of statistics may be helpful for analyzing data sets.

6. Data Visualization: Ability to create basic charts and graphs to present data clearly.

7. Experience with CRMs: Familiarity with customer relationship management (CRM) systems if relevant to the role.

Analytical Skills:

1. Attention to Detail: Ability to spot errors and inconsistencies within data, maintaining accuracy.

2. Problem-Solving Skills: Ability to identify issues within data processes and propose solutions.

3. Critical Thinking: Ability to analyze information and make decisions based on data quality and relevance.

Soft Skills:

1. Communication Skills: Effective verbal and written communication skills to work with team members and stakeholders.

2. Teamwork: Ability to collaborate effectively with others in a team setting.

3. Time Management: Strong organizational skills to manage multiple tasks and meet deadlines.

4. Adaptability: Flexibility to adapt to new software, tools, and changing data management processes.

5. Initiative: Willingness to take on new responsibilities and proactively suggest improvements in data processes.

Educational Background:

- While not always required, having a degree or certification in data management, statistics, mathematics, or a related field can be beneficial.

Industry Knowledge:

- Familiarity with the specific industry you wish to work in (e.g., finance, healthcare, marketing) can improve your understanding of the types of data you’ll encounter.