At a Glance
- Tasks: Lead projects analysing health data to improve lives of those with arthritis.
- Company: Arthritis UK, dedicated to a future free from arthritis.
- Benefits: Hybrid working, inclusive environment, and opportunities for professional growth.
- Other info: Join a passionate team committed to impactful health initiatives.
- Why this job: Make a real difference in health policy and support for MSK conditions.
- Qualifications: Degree in health science, experience with data analysis and project management.
The predicted salary is between 40000 - 50000 £ per year.
Join us and use your skills, knowledge, passion and energy to help us achieve a future free from arthritis. We are looking for a data analyst who will be working within the health intelligence function to lead programmes of work and manage projects to better understand the UK population with Musculoskeletal (MSK) conditions to inform the direction of Arthritis UK's ambitions, strategy, policy and services work. Our UK Advocacy and Health Intelligence department are responsible for developing and implementing our ambitious evidence-based policy and influencing strategy so that people with arthritis can access the treatment and support they need to live the lives they choose.
About the role
The Senior Health Intelligence Analyst will lead and manage projects that support on the development and delivery of a pipeline of insightful Musculoskeletal and health data analysis, to better understand the UK population with MSK conditions. This includes analysing epidemiological data and developing and maintaining relationships with national and local stakeholders.
About you
If your knowledge, skills and experience include the following then we would love to hear from you:
- Able to demonstrate sound knowledge and experience in applying epidemiological research methods and health metrics (such as incidence and prevalence).
- Experience of drawing insights from multiple sets of health-related data and information systems, and large-scale data sets for policy, quality improvement or research purposes.
- Strong experience with statistical software including building automated analytical processes and creating data visualisations (e.g. using R, python, PowerBI, Tableau).
- Educated to degree level in a scientific or health science discipline.
- Ability to interpret, present and communicate complex data in accessible lay terms, including producing data-rich reports and/or dashboards for a range of technical and generalist audiences.
- Project management and organisational ability, including being able to prioritise activities and independently manage own workload that includes multiple concurrent projects.
*As a hybrid worker the expectation is that you will spend around 40% of your working time in our office spaces or working in community settings. As an inclusive employer we will consider home-based working for anyone where office-based hybrid working would be a barrier to being able to work for us, for example for someone living with a long-term health condition or disability.
Senior Health Intelligence Analyst - City of London in Hainault employer: Arthritis UK
Join Arthritis UK, a leading organisation dedicated to improving the lives of those with arthritis, where your expertise as a Senior Health Intelligence Analyst will directly contribute to impactful health strategies and policies. Enjoy a supportive work culture that values inclusivity and flexibility, offering hybrid working arrangements and opportunities for professional growth within a passionate team committed to making a difference in the health sector. Located in the vibrant City of London, you will have access to a dynamic environment that fosters collaboration and innovation, ensuring your work is both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst - City of London in Hainault
✨Tip Number 1
Network like a pro! Reach out to professionals in the health intelligence field on LinkedIn or at industry events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to epidemiological research. This will give potential employers a taste of what you can do with health data.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of MSK conditions and current health policies. Being able to discuss these topics confidently will show that you're genuinely interested in the role and the organisation.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Health Intelligence Analyst - City of London in Hainault
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with epidemiological research methods and health metrics. We want to see how you've used data analysis to make a difference, so don’t hold back on those examples!
Keep It Clear and Concise:When you're presenting your data insights, remember to keep it accessible. We love seeing complex data turned into easy-to-understand reports or dashboards, so show us how you can communicate effectively!
Tailor Your Application:Take a moment to align your application with our mission at Arthritis UK. Let us know how your background and passion for health intelligence can help us achieve a future free from arthritis.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Arthritis UK
✨Know Your Data Inside Out
Make sure you’re well-versed in epidemiological research methods and health metrics. Brush up on how to interpret incidence and prevalence data, as this will likely come up during your interview. Being able to discuss specific examples of how you've used these methods in past projects will really impress.
✨Showcase Your Analytical Skills
Prepare to talk about your experience with statistical software like R, Python, PowerBI, or Tableau. Bring along examples of data visualisations you've created or automated analytical processes you've built. This will demonstrate your technical prowess and ability to draw insights from complex data sets.
✨Communicate Clearly
Practice explaining complex data in simple terms. You might be asked to present findings to a non-technical audience, so being able to produce clear, accessible reports or dashboards is key. Think about how you can make your insights relatable and impactful for different stakeholders.
✨Project Management is Key
Be ready to discuss your project management skills. Highlight how you prioritise tasks and manage multiple projects simultaneously. Share specific examples of how you’ve successfully led projects in the past, especially those that involved collaboration with various stakeholders.
