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 Coleshill 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 your professional growth in a supportive and inclusive environment. With a strong emphasis on collaboration and innovation, our City of London office offers a hybrid working model that promotes work-life balance while providing access to valuable resources and networking opportunities within the health sector. We are committed to empowering our employees through continuous learning and development, ensuring you can thrive in your career while making a significant impact on public health.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Health Intelligence Analyst - City of London in Coleshill
✨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! Prepare a portfolio showcasing your data analysis projects, especially those involving epidemiological research. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your ability to communicate complex data insights clearly. This is crucial for impressing potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in our mission. Tailor your application to highlight how your experience aligns with our goals in health intelligence.
We think you need these skills to ace Senior Health Intelligence Analyst - City of London in Coleshill
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 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 in previous roles.
Keep It Clear and Concise:We appreciate clarity! Use straightforward language to explain complex data concepts. Remember, we need to communicate effectively with both technical and non-technical audiences, so make your application accessible.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Arthritis UK
✨Know Your Data Inside Out
Make sure you’re well-versed in the epidemiological research methods and health metrics mentioned in the job description. Brush up on your knowledge of incidence and prevalence, and be ready to discuss how you've applied these concepts in previous roles.
✨Showcase Your Analytical Skills
Prepare to talk about your experience with statistical software like R, Python, PowerBI, or Tableau. Bring examples of how you've built automated analytical processes or created impactful data visualisations that influenced policy or quality improvement.
✨Communicate Complex Ideas Simply
Practice explaining complex data in layman's terms. You might be asked to present findings or reports, so think about how you can make your insights accessible to both technical and general audiences.
✨Demonstrate Project Management Prowess
Be ready to discuss how you manage multiple projects simultaneously. Share specific examples of how you prioritise tasks and keep everything on track, especially in a hybrid working environment where self-management is key.
