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: Hybrid working, inclusive culture, and opportunities for professional growth.
- Other info: Flexible working options available to support diverse needs.
- 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 Bethnal Green 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 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 flexible hybrid working model ensures that you can balance your professional and personal life effectively, making us an excellent employer for those seeking a rewarding career in health intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst - City of London in Bethnal Green
✨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 seen by the right people. Plus, it shows you’re keen on joining our mission to support those with arthritis.
We think you need these skills to ace Senior Health Intelligence Analyst - City of London in Bethnal Green
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with epidemiological research methods and health metrics. We want to see how you've used data analysis to make a difference, so don’t hold back on those examples!
Tailor Your Application:Take the time to customise your application for this role. Use the job description as a guide and align your skills and experiences with what we’re looking for. It shows us you’re genuinely interested in the position!
Keep It Clear and Concise:When presenting your complex data insights, remember to keep it accessible. We love seeing clear communication, so aim for simplicity in your reports and dashboards. Make it easy for us to understand your findings!
Apply Through Our Website:Don’t forget 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 straightforward!
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 or data visualisations you've created, as this will show your practical skills in action.
✨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 reports or dashboards is key. Think about how you can make your insights accessible.
✨Project Management Prowess
Be ready to discuss your project management experience. Highlight how you've prioritised tasks and managed multiple projects simultaneously. This will demonstrate your organisational skills and ability to work independently.
