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 Rainham 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 commitment to employee growth, we offer opportunities for professional development and the chance to make a real impact in the community, all while enjoying the vibrant atmosphere of the City of London. Our hybrid working model ensures flexibility, allowing you to balance your professional and personal life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst - City of London in Rainham
✨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.
✨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.
We think you need these skills to ace Senior Health Intelligence Analyst - City of London in Rainham
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for health intelligence and improving lives shine through. We want to see your passion for tackling MSK conditions and how it aligns with our mission at Arthritis UK.
Tailor Your Experience:Make sure to highlight your relevant experience in epidemiological research methods and data analysis. We’re looking for specific examples that demonstrate your skills with statistical software and how you've used data to drive insights.
Keep It Clear and Concise:Remember, we need to understand your complex data insights easily! Use clear language and avoid jargon where possible. Think about how you can present your findings in a way that’s accessible to both technical and general audiences.
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 the role. Plus, it’s super easy to do!
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 projects, especially when it comes to analysing large-scale health data sets.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency with statistical software like R, Python, PowerBI, or Tableau. Bring examples of automated analytical processes or data visualisations you've created, as this will highlight your technical expertise.
✨Communicate Clearly
Practice explaining complex data in simple terms. You might be asked to present findings to a non-technical audience, so being able to produce clear, accessible reports or dashboards is key.
✨Project Management Prowess
Be ready to discuss your project management experience. Think of examples where you've successfully managed multiple projects simultaneously, prioritised tasks, and delivered results on time. This will show your organisational skills and ability to work independently.
