At a Glance
- Tasks: Lead data analysis projects to improve understanding of Musculoskeletal conditions in the UK.
- Company: Join Arthritis UK and contribute to a future free from arthritis.
- Benefits: Hybrid working, inclusive environment, and opportunities for professional growth.
- Other info: Flexible working arrangements available to support diverse needs.
- Why this job: Make a real difference in health policy and support for those with arthritis.
- Qualifications: Degree in health science, experience with epidemiological methods, and strong data analysis skills.
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 MSK Health Data & Insight Lead (Hybrid) employer: Arthritis UK
At Arthritis UK, we are committed to fostering a supportive and inclusive work environment where your expertise in health data can make a real difference. Our hybrid working model allows for flexibility, ensuring you can balance your professional and personal life while contributing to meaningful projects that shape the future of MSK health. With opportunities for professional growth and collaboration with passionate colleagues, you'll find a rewarding career dedicated to improving the lives of those affected by arthritis.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MSK Health Data & Insight Lead (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the health data field, especially those who work with MSK conditions. Attend relevant events or webinars and don’t be shy to introduce yourself – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving epidemiological research. 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 MSK conditions and the latest trends in health data analysis. Be ready to discuss how your experience aligns with the role and how you can help drive Arthritis UK's ambitions forward.
✨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 MSK Health Data & Insight Lead (Hybrid)
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for tackling MSK conditions shine through. We want to see how your skills and experiences align with our mission to create a future free from arthritis.
Tailor Your CV:Make sure your CV highlights relevant experience in epidemiological research methods and data analysis. We’re looking for specific examples that demonstrate your ability to draw insights from health-related data, so don’t hold back!
Be Clear and Concise:In your cover letter, keep it straightforward. We appreciate clarity, so explain how your background makes you the perfect fit for the Senior Health Intelligence Analyst role without unnecessary jargon.
Apply Through Our Website:We encourage you 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 opportunity to make a difference in the lives of those with arthritis.
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 projects, as well as any insights you've drawn from large-scale health data sets.
✨Showcase Your Technical Skills
Familiarise yourself with the statistical software mentioned in the job description, like R, Python, PowerBI, or Tableau. Bring examples of how you've used these tools to create data visualisations or automate analytical processes, as this will demonstrate your hands-on experience.
✨Communicate Complex Data Simply
Practice explaining complex data concepts in layman's terms. You might be asked to present findings to a non-technical audience, so being able to simplify your insights will show that you can bridge the gap between data and decision-making.
✨Project Management is Key
Be ready to discuss your project management skills. Think of examples where you've successfully managed multiple projects simultaneously, prioritised tasks, and met deadlines. This will highlight your organisational abilities and readiness for the role.
