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: Flexible hybrid working, inclusive culture, and opportunities for professional growth.
- Other info: Join a passionate team committed to impactful health intelligence.
- Why this job: Make a real difference in health policy and support for people with MSK conditions.
- Qualifications: Degree in health science, experience with data analysis and project management.
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 employer: Arthritis UK
At Arthritis UK, we are dedicated to creating a future free from arthritis, and as a Senior Health Intelligence Analyst, you will play a pivotal role in shaping our evidence-based policies and strategies. Our inclusive work culture fosters collaboration and innovation, offering ample opportunities for professional growth while making a meaningful impact on the lives of those affected by musculoskeletal conditions. With a hybrid working model and a commitment to supporting employees with diverse needs, we ensure that every team member can thrive in their role and contribute to our mission.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst
✨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 well-informed will help you stand out and show your passion for the role.
✨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 genuinely interested in joining our mission.
We think you need these skills to ace Senior Health Intelligence Analyst
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 can apply your knowledge to help us understand MSK conditions better!
Data is Key:When you're writing your application, focus on your ability to draw insights from large data sets. Share examples of how you've used statistical software like R or Python to create impactful analyses.
Keep It Clear:Remember, we need to communicate complex data in simple terms. Include examples of reports or dashboards you've created that made data accessible for different audiences.
Project Management Matters:Don’t forget to mention your project management skills! We love candidates who can juggle multiple projects and prioritise effectively, so share how you've managed your workload in the past.
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 show your hands-on experience and 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. Think about how you can make your insights relatable.
✨Project Management Prowess
Be prepared to discuss your project management skills. Share examples of how you've prioritised tasks and managed multiple projects simultaneously. Highlight any tools or methods you use to stay organised and ensure timely delivery.
