At a Glance
- Tasks: Lead projects analysing health data to improve lives of those with arthritis.
- Company: Join Arthritis UK and make a difference in health intelligence.
- 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: Use your analytical skills to impact the health of the UK population positively.
- 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 Woldingham employer: Arthritis UK
Join Arthritis UK, a leading organisation dedicated to improving the lives of those affected by arthritis, where your role as a Senior Health Intelligence Analyst will not only contribute to meaningful health outcomes 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 diverse stakeholders in the heart of the City of London, all while enjoying the flexibility of hybrid working arrangements that support work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst - City of London in Woldingham
✨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 bring to the table.
✨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 genuinely interested in the role and the organisation.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Health Intelligence Analyst - City of London in Woldingham
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 how your skills can contribute to our mission of a future free from arthritis!
Tailor Your Experience:Make sure to highlight your experience with epidemiological research methods and data analysis. We’re looking for someone who can draw insights from complex data, so be specific about your past projects and the tools you’ve used.
Keep It Clear and Concise:Remember, we need to understand your qualifications quickly! Use clear language and avoid jargon when explaining your experience. Show us how you can communicate complex data in an accessible way.
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 don’t miss any important updates from us during the process!
How to prepare for a job interview at Arthritis UK
✨Know Your Data Inside Out
Make sure you’re well-versed in epidemiological research methods and health metrics. Brush up on your knowledge of incidence and prevalence, as well as how to draw insights from large-scale health data sets. Being able to discuss specific examples from your past experience will show that you’re the right fit for the role.
✨Showcase Your Technical Skills
Be prepared to talk about your experience with statistical software like R, Python, PowerBI, or Tableau. Bring along examples of automated analytical processes you've built or data visualisations you've created. This will demonstrate your technical prowess and ability to handle complex data.
✨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, data-rich reports or dashboards is key. Think about how you can make your insights accessible and engaging.
✨Project Management is Key
Highlight your organisational skills and ability to manage multiple projects simultaneously. Be ready to discuss how you prioritise tasks and keep everything on track. Sharing specific examples of successful project management will help illustrate your capability in this area.
