At a Glance
- Tasks: Lead projects analysing health data to improve lives of those with arthritis.
- Company: Join Arthritis UK, a passionate team dedicated to fighting arthritis.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive workplace with a focus on community and collaboration.
- Why this job: Make a real difference in public health while developing your analytical skills.
- 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 Grays employer: Arthritis UK
Join Arthritis UK, a leading organisation dedicated to improving the lives of those with arthritis, where your role as a Senior Health Intelligence Analyst will not only contribute to meaningful health insights but also foster a collaborative and inclusive work culture. With a strong emphasis on employee growth, we offer opportunities for professional development and the chance to engage with national and local stakeholders in the vibrant City of London. Enjoy the flexibility of hybrid working arrangements, ensuring a healthy work-life balance while making a significant impact in the field of health intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst - City of London in Grays
✨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 how you can contribute to their mission.
✨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 not just a data whiz but also passionate about the cause.
✨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 at Arthritis UK.
We think you need these skills to ace Senior Health Intelligence Analyst - City of London in Grays
Some tips for your application 🫡
Show Your Passion for Health Intelligence:When writing your application, let your enthusiasm for health intelligence shine through! We want to see how your skills and experiences align with our mission to improve the lives of those with arthritis.
Highlight Relevant Experience:Make sure to showcase your experience with epidemiological research methods and data analysis. We’re looking for someone who can draw insights from complex data sets, so don’t hold back on sharing specific examples!
Keep It Clear and Concise:While we love detail, clarity is key! Use accessible language to explain your technical skills and experiences. Remember, we want to understand your journey without getting lost in jargon.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to make a difference!
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 ready to discuss how you've applied these in past roles, 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 automated analytical processes you've built or data visualisations you've created to showcase your technical prowess.
✨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 ready to discuss your project management skills. Think of examples where you've successfully managed multiple projects simultaneously, prioritised tasks, and delivered results on time. This will show your organisational ability and independence.
