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 culture, and opportunities for professional growth.
- Other info: Flexible working options available to support diverse needs.
- 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.
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.
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 Kemsing employer: Arthritis UK
Join Arthritis UK, a leading organisation dedicated to improving the lives of those affected by arthritis, where your role as a Senior Health Intelligence Analyst will not only contribute to meaningful health outcomes but also foster your professional growth in a supportive and inclusive environment. With a strong emphasis on collaboration and innovation, our City of London office offers a hybrid working model that promotes work-life balance while providing access to valuable resources and networking opportunities within the health sector. We are committed to empowering our employees through continuous development and a culture that values diverse perspectives, making us an exceptional employer for those passionate about making a difference in public health.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst - City of London in Kemsing
✨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 bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of MSK conditions and current health policies. Being well-informed will help you stand out and show your passion for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Senior Health Intelligence Analyst - City of London in Kemsing
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for health intelligence and improving lives shine through. We want to see how your skills can help us achieve a future free from arthritis!
Tailor Your Experience:Make sure to highlight your experience with epidemiological research methods and data analysis. We’re looking for someone who can draw insights from health-related data, so be specific about your past projects and achievements.
Keep It Clear and Concise:Remember, we need to understand your complex data skills in layman's terms. Use clear language and avoid jargon where possible, especially when discussing your analytical processes and tools like R or Python.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting role.
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 your knowledge of incidence and prevalence, as well as how to draw insights from large-scale health data sets. Being able to discuss specific examples from your past experience will show that you’re the right fit for the role.
✨Showcase Your Technical Skills
Be prepared to talk about your experience with statistical software like R, Python, PowerBI, or Tableau. Bring along examples of automated analytical processes you've built or data visualisations you've created. This will demonstrate your technical prowess and ability to handle complex data.
✨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.
✨Project Management is Key
Highlight your organisational skills and ability to manage multiple projects simultaneously. Be ready to discuss how you prioritise tasks and keep everything on track. Sharing specific strategies or tools you use for project management can really set you apart.
