Data Analyst - GP Out of Hours (OOH) inGlasgow inGlasgow PUBLISHED TUE 7 JAN 2025

NHS Scotland rvrQq6u

Opportunity to contribute to improved healthcare decision-making and patient care within a large and diverse NHS organisation.

Engagement in data analysis and interpretation, allowing for skill enhancement and professional development in a critical field.

Being part of a performance team that plays a vital role in the operational efficiency of GP Out of Hours services.

Supportive work environment that promotes a culture of inclusion and values diverse perspectives.

Reduced working hours from 37.5 to 37 hours per week starting April 2024, providing a better work-life balance.

Job stability and benefits associated with working for a major healthcare employer in the UK.

Opportunities to leverage and enhance IT skills, particularly in data management and Microsoft Excel, through practical, real-world applications.

NHS Greater Glasgow and Clyde is seeking an experienced Data Analyst for the GP Out of Hours (OOH) Performance Team in Glasgow. The successful candidate will be responsible for developing, analyzing, and maintaining information systems to produce accurate and timely data that supports clinical and managerial decision-making. Key qualifications include expertise in data analysis, particularly with Microsoft Excel, including pivot tables, along with strong IT literacy, analytical skills, and effective communication abilities.

The role features a flexible shift pattern that will be determined, and candidates are encouraged to demonstrate their management and implementation experience with IT systems. NHS Scotland promotes inclusivity and encourages applications from diverse communities, including the Armed Forces. As part of an upcoming change, the full-time working week will transition from 37.5 to 37 hours, effective April 2024, although some areas may require temporary adjustments.

NHS Greater Glasgow and Clyde is one of the largest healthcare systems in the UK employing around 40,000 staff in a wide range of clinical and non-clinical professions and job roles. We deliver acute hospital, primary, community and mental health care services to a population of over 1.15 million and a wider population of 2.2 million when our regional and national services are included.

The shift pattern for this position is to be confirmed.

Applications are sought from experienced individuals to join our Performance Team at GP Out of Hours. The post holder will develop, analyse, maintain and interpret information sources and systems in order to produce clear, accurate and timely information to support the clinical and managerial decision-making process across NHS Greater Glasgow and Clyde. The post holder is required to have experience gained in management and implementation of IT system and data analysis via MS Excel. Strong evidence of IT literacy is also required given the nature of the role. The successful candidate will have analytical and data management skills, in particular how to manage data using Microsoft Excel. pivot tables in particular. Good communication skills in oral, written and presentation format and good organisational skills.

Informal contact: Derek Johnston, Performance Manager, ,

Details on how to contact the Recruitment Service can be found within the Candidate Information Packs.

NHS Greater Glasgow and Clyde encourages applications from all sections of the community. We promote a culture of inclusion across the organisation and are proud of the diverse workforce we have.

By signing the Armed Forces Covenant, NHSGGC has pledged its commitment to being a Forces Friendly Employer. We support applications from across the Armed Forces Community, recognising military skills, experience and qualifications during the recruitment and selection process.

NHS Scotland is reducing their full time working week from 37.5 to 37 hours per week from 1 April 2024 but with no change in pay. This reduction will also be applied pro rata for part time staff. This advert and any subsequent offer/contract of employment therefore reflects the new working hours. However, as not all service areas will be able to adopt the 37 hour working week immediately from 1 April 2024, you may be required to work up to an additional 30 minutes per week for a temporary period for which you would be paid until the service you are working in changes rosters or working patterns to accommodate the new reduced working week. If you have any questions or concerns please contact the Recruiting Board.

Candidates should provide original and authentic responses to all questions within the application form. The use of artificial intelligence (AI), automated tools, or other third-party assistance to generate, draft, or significantly modify responses is strongly discouraged. By submitting your application, you confirm that all answers are your own work, reflect your personal knowledge, skills and experience, and have not been solely produced or altered by AI or similar technologies.

Failure to comply with this requirement may result in your application being withdrawn from the application process.

For application portal/log-in issues, please contact in the first instance

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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...

More about MENTAL HEALTH

Mental health has emerged as a critical issue in the United Kingdom, particularly in the wake of the COVID-19 pandemic. The crisis highlighted the fragility of mental well-being across different demographics, from children and adolescents to adults and the elderly. It has sparked a wider conversation about the importance of mental health care, accessibility, and the stigmas often associated with mental illnesses. Learn more...

Useful skills for a Data Analyst - GP Out of Hours (OOH): Click to view

To work as a Data Analyst in the UK, you will need a combination of technical, analytical, and soft skills. Here’s a summary of the key skills required:

Technical Skills:

1. Data Analysis Tools:

- Proficiency in data analysis tools such as Microsoft Excel (advanced functions, pivot tables).

- Experience with statistical software (e.g., R, SAS, or SPSS).

2. Programming Languages:

- Knowledge of programming languages such as SQL for database querying.

- Familiarity with Python or R for data manipulation and analysis.

3. Data Visualization:

- Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn (if using Python).

- Ability to create clear and insightful visual representations of data.

4. Database Management:

- Understanding of database management systems (e.g., MySQL, PostgreSQL, or similar).

- Experience with data warehousing concepts.

5. Statistical Knowledge:

- Strong understanding of statistical concepts and methodologies.

- Ability to apply statistical tests and interpret results.

6. Data Cleaning and Preparation:

- Skills in data cleaning, preprocessing, and transforming raw data into usable formats.

Analytical Skills:

1. Critical Thinking:

- Ability to analyze complex data sets and draw meaningful insights.

- Strong problem-solving skills to address data-related issues.

2. Attention to Detail:

- High level of accuracy and attention when working with data to ensure information is correct and reliable.

3. Business Acumen:

- Understanding of business processes and objectives to align data insights with strategic goals.

Soft Skills:

1. Communication Skills:

- Strong verbal and written communication skills for presenting findings to non-technical stakeholders.

- Ability to explain complex data insights in a clear and actionable manner.

2. Collaboration:

- Team player who can work effectively with cross-functional teams, including data scientists, IT staff, and business leaders.

3. Adaptability:

- Willingness to learn and adapt to new tools, technologies, and changing business requirements.

Additional Skills and Qualifications:

- Education: A degree in a relevant field such as Mathematics, Statistics, Computer Science, or Economics can be helpful, but not always necessary.

- Certifications: Professional certifications in data analysis (e.g., Google Data Analytics, Microsoft Certified: Data Analyst Associate) can enhance your job prospects.

- Experience: Internships or relevant work experience can provide practical skills and familiarity with real-world data analysis scenarios.