At a Glance
- Tasks: Lead healthcare analytics projects and deliver impactful data-driven solutions.
- Company: Join a global consultancy with a focus on healthcare innovation.
- Benefits: Earn up to £80k, enjoy flexible working, and receive excellent benefits.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real difference in healthcare through advanced analytics and mentoring opportunities.
- Qualifications: Experience in healthcare analytics and proficiency in SQL, Python, or R required.
The predicted salary is between 35910 - 43890 £ per year.
Your new company
Global Consultancy (confidential)
Your new role
Our client is seeking an experienced Healthcare Analytics Manager to join a growing advisory team delivering high-impact analytics and modelling solutions across the healthcare sector. In this role, you’ll work with a diverse range of clients, supporting strategic and operational decision-making through advanced data analysis, forecasting, and modelling. Projects span financial and performance improvement initiatives, demand and capacity planning, and system-wide transformation programmes.
In this role, you will lead the design and delivery of analytical models and insight-driven solutions while managing multiple project workstreams to ensure high-quality outputs. You will work closely with senior stakeholders to understand key challenges and translate complex data into clear, actionable insights, while also supporting business development through proposals and innovative solutions. Additionally, you will play a key role in mentoring and developing junior team members, fostering a collaborative and high-performing team environment.
What you'll need to succeed
To be considered for this exciting opportunity, you will bring strong experience in healthcare analytics, gained within the NHS or a consultancy environment, alongside a proven ability to manage large datasets and deliver end-to-end analytical projects. You are technically proficient in tools such as SQL, Python or R, Alteryx, and BI platforms including Power BI or Tableau, and possess excellent communication skills, enabling you to translate complex analysis into clear, practical recommendations for a range of stakeholders.
What you'll get in return
They can offer a competitive base salary of up to c. 80k, coupled with an excellent benefits package, and flexible hybrid working.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Analytics Manager - Healthcare in London employer: Hays
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We think this is how you could land Analytics Manager - Healthcare in London
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We think you need these skills to ace Analytics Manager - Healthcare in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hays. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hays
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
