At a Glance
- Tasks: Analyse data to improve patient outcomes and support innovative healthcare projects.
- Company: Join Moorfields Eye Hospital, a leading NHS ophthalmology provider.
- Benefits: Enjoy competitive salary, NHS pension, flexible working, and continuous learning opportunities.
- Other info: Dynamic team culture with excellent career growth potential.
- Why this job: Make a real difference in healthcare while developing your skills in a supportive environment.
- Qualifications: Degree in a technical field and experience with SQL and Excel required.
The predicted salary is between 47951 - 56863 £ per year.
Are you passionate about making a difference to people's lives? Do you have an eye for detail and a natural aptitude for numbers? Are you experienced in SQL and Excel, and looking for a role that allows you to work flexibly and grow your skills in a supportive environment?
Moorfields Eye Hospital is one of the oldest and largest ophthalmology providers in the UK, providing care across a network of over 20 sites across London and the southeast. The Transformation team are seeking a data analyst to join the team. The team deliver a range of improvement projects across Moorfields, supporting outpatients, theatres, quality and digital innovation programmes.
The post-holder will be working in the informatics function of our team, supporting project delivery by using data to find efficiencies, drive informed decisions and improve patient outcomes. Our office is based at Old Street, London with a plan to move to offices in King's Cross in 2027 and we offer flexible hybrid working, expected 2 days a week on site. You will also have access to training and development opportunities, including SQL coding, data analysis, project management and improvement methodologies.
If you're looking for a role where you can make a real difference, work in a supportive team, and grow your skills and NHS career, please apply today.
Job Responsibilities:
- Capture information from relevant stakeholders and transfer to intelligence.
- Provide detailed interpretation and recommendations relating to analysis.
- Provide advice and guidance to senior staff and service managers on the interpretation of information reports.
- Support, and lead where appropriate, delivery of information and performance reporting that enables services to track performance against agreed targets.
- Make key stakeholders aware of any issues with relevant datasets, for example highlighting data quality issues, explaining terminology and investigating irregularities.
- Liaise with stakeholders to follow up omissions, errors and data inconsistencies.
- Develop and maintain regular reporting for both internal and external recipients, pursuing automation where appropriate.
- Ensure managers and clinicians have the information they require to deliver high quality services for patients.
- Provide statistical analysis of trends within performance data, highlighting variances and supporting decision making and improvement.
- Manipulate and analyse data using advanced Excel skills, including combining data from multiple sources, producing statistics, pivot tables and graphs.
- Extract and manipulate data from the trusts data warehouse using TSQL on Microsoft SQL Management Studio.
- Conduct in-person audits, such as time and motion data collection in clinics and theatres, and support projects where appropriate.
- Deputise for Line Manager at meetings/forums relevant to your area.
- Present verbal and written reports and represent the Transformation team at internal and external meetings.
- Participate in discussions to determine appropriate performance measures and translate business needs into metrics.
- Share knowledge with the QSIS team and colleagues when relevant to your work area and/or trust-wide transformation projects.
Person Specification:
- Qualifications: Degree in a technical/numerate field (e.g. Maths, Computer Science) or equivalent relevant experience.
- Experience: Significant experience as a data analyst producing outputs such as reports, dashboards, and visualisations for varied audiences.
- Skills & Abilities: Ability to analyse and interpret complex data accurately, ensuring high data quality, confidentiality, and security.
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service to check for any previous criminal convictions.
Data Analyst employer: National Health Service
Betsi Cadwaladr University Health Board is an exceptional employer, offering a supportive and collaborative work environment for healthcare professionals in North Wales. With a commitment to employee development and a focus on compassionate care, staff have access to continuous professional development opportunities and the chance to make a meaningful impact in both acute and community paediatrics. The Health Board's integrated approach ensures that employees are part of a dynamic team dedicated to improving health outcomes for the local population.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like National Health Service!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at National Health Service.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like National Health Service.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at National Health Service, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at National Health Service, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at National Health Service. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at National Health Service
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at National Health Service!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.