At a Glance
- Tasks: Lead data analysis projects to improve understanding of Musculoskeletal conditions in the UK.
- Company: Join Arthritis UK and help shape health policy for 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 people's lives by influencing health strategies and policies.
- 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.
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 MSK Health Data & Insight Lead (Hybrid) in London 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 and data analysis. Our inclusive work culture fosters collaboration and innovation, offering employees the opportunity to lead impactful projects that directly influence policy and support for individuals with Musculoskeletal conditions. With a commitment to employee growth and flexible hybrid working arrangements, 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 MSK Health Data & Insight Lead (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the MSK health field on LinkedIn or at industry events. Building connections can open doors and give you insights into unadvertised opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to health metrics. This will help us see your expertise in action and how you can contribute to our mission.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of epidemiological research methods. Be ready to discuss how you've used data to influence policy or improve quality in previous roles.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Senior MSK Health Data & Insight Lead (Hybrid) in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your passion for improving the lives of those with 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 is tailored to highlight your experience with epidemiological research methods and health metrics. We’re looking for specific examples that demonstrate your ability to analyse data and draw insights that can inform policy and strategy.
Be Clear and Concise:In your written application, clarity is key! Use straightforward language to explain complex data concepts. Remember, we need to understand your thought process and how you communicate findings to both technical and general audiences.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Totalwellnessacupuncture
✨Know Your Data Inside Out
Make sure you’re well-versed in the epidemiological research methods and health metrics mentioned in the job description. Brush up on your knowledge of incidence and prevalence, and be ready to discuss how you've applied these concepts in previous roles.
✨Showcase Your Analytical Skills
Prepare to demonstrate your experience with statistical software like R, Python, PowerBI, or Tableau. Bring examples of data visualisations or automated analytical processes you've created, and be ready to explain the insights you derived from them.
✨Communicate Complex Ideas Simply
Practice explaining complex data in layman's 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 for everyone.
✨Project Management is Key
Be prepared to discuss your project management skills. Think of examples where you’ve successfully managed multiple projects simultaneously, prioritised tasks, and delivered results. This will show that you can handle the workload expected in this role.
