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: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a passionate team committed to impactful health intelligence.
- Why this job: Make a real difference in health policy and support for people with MSK conditions.
- Qualifications: Degree in health science, experience with epidemiological methods and data analysis.
The predicted salary is between 46000 - 52000 £ 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 employer: Totalwellnessacupuncture
At Arthritis UK, we are dedicated to creating a future free from arthritis, making us an exceptional employer for those passionate about health intelligence and data analysis. Our inclusive work culture fosters collaboration and innovation, offering employees the opportunity to lead impactful projects that directly influence policy and improve the lives of individuals with Musculoskeletal conditions. With flexible hybrid working arrangements and a commitment to employee growth, we empower our team to thrive both professionally and personally in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst
✨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 and set you apart from the crowd.
✨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's mission.
✨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, it shows you’re keen on joining our team and contributing to a future free from arthritis.
We think you need these skills to ace Senior Health Intelligence Analyst
Some tips for your application 🫡
Show Your Passion:When writing your application, let your passion for health intelligence and improving lives shine through. We want to see how your skills can contribute to 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 specific examples that demonstrate your ability to draw insights from health-related data.
Keep It Clear and Concise:Remember, we need to understand your complex data insights easily. Use clear language and avoid jargon where possible, especially when explaining your past projects and achievements.
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 Totalwellnessacupuncture
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of epidemiological research methods and health metrics. Be ready to discuss how you've applied these in past projects, especially when it comes to analysing large-scale health data sets.
✨Showcase Your Technical Skills
Prepare to demonstrate your experience with statistical software like R, Python, PowerBI, or Tableau. Bring examples of data visualisations you've created and be ready to explain the processes behind them.
✨Communicate Clearly
Practice explaining complex data in simple terms. You might be asked to present findings to a non-technical audience, so think about how you can make your insights accessible and engaging.
✨Project Management is Key
Be prepared to discuss your project management skills. Share examples of how you've prioritised tasks and managed multiple projects simultaneously, highlighting your organisational abilities and independence.
