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 Cranleigh 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 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. Enjoy the flexibility of hybrid working arrangements that support work-life balance while being part of a passionate team committed to making a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst - City of London in Cranleigh
✨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 Cranleigh
Some tips for your application 🫡
Show Your Passion:Let your enthusiasm for health intelligence and improving lives shine through in your application. We want to see how your skills can contribute to a future free from arthritis!
Tailor Your CV:Make sure your CV highlights your experience with epidemiological research methods and data analysis. We’re looking for specific examples that demonstrate your ability to draw insights from health-related data.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for this role. Share your experiences with statistical software and project management, and how they align with our mission at Arthritis UK.
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 keep track of your application. We can’t wait to hear from you!
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.
