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.
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 Rochester 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. Our inclusive work culture fosters collaboration and innovation, offering you opportunities for professional growth while working in the vibrant City of London. Enjoy the flexibility of hybrid working arrangements, ensuring a healthy work-life balance as you engage with stakeholders to drive meaningful change in health policy and services.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst - City of London in Rochester
✨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 health metrics. This will give potential employers a taste of what you can do and how you can contribute to their mission.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of epidemiological research methods and health data analysis. Be ready to discuss how you've used these skills in past projects and how they relate to the role you're applying for.
✨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 genuinely interested in joining our team and making a difference in the lives of those with arthritis.
We think you need these skills to ace Senior Health Intelligence Analyst - City of London in Rochester
Some tips for your application 🫡
Show Your Passion:Let your enthusiasm for health intelligence and improving lives shine through in your application. We want to see how your skills can contribute to a future free from arthritis!
Tailor Your CV:Make sure your CV highlights 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.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for this role. Share your journey, your motivations, and how your background aligns with our mission at Arthritis UK.
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 ensure 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 brush up on your knowledge of epidemiological research methods and health metrics. Be prepared to discuss how you've applied these in past roles, especially when drawing insights from large-scale data sets. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Technical Skills
Familiarise yourself with the statistical software mentioned in the job description, like R, Python, PowerBI, or Tableau. If you have examples of automated analytical processes or data visualisations you've created, be ready to share them. This will demonstrate your hands-on experience and technical prowess.
✨Communicate Complex Ideas Simply
Practice explaining complex data in layman's terms. You might be asked to present findings or reports, so think about how you can make your insights accessible to both technical and generalist audiences. This skill is crucial for the role and will set you apart from other candidates.
✨Project Management is Key
Be prepared to discuss your project management experience. Think of examples where you've successfully managed multiple projects simultaneously. Highlight your organisational skills and how you prioritise tasks, as this will show that you can handle the demands of the role effectively.
