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- Tasks: Develop predictive models and enhance personalised communications using customer data.
- Company: Join a leading healthcare and retail company in Nottingham.
- Benefits: Enjoy retirement savings, discounts, and flexible work options.
- Why this job: Make a real impact on customer experience through data insights.
- Qualifications: Strong background in analytics, with skills in SQL and Python.
- Other info: Be part of a dynamic team focused on innovative data solutions.
The predicted salary is between 36000 - 60000 £ per year.
A healthcare and retail leader is seeking a Clinical Analyst to join their Data Science and Analytics team in Nottingham. This role focuses on developing predictive models and leveraging customer data to enhance personalized communications.
Candidates should have a strong background in analytics and data science, with proficiency in SQL and Python.
The position offers benefits such as a retirement savings plan, discounts, and flexible work options. If you are passionate about data insights and enhancing customer experience, we encourage you to apply.
Clinical Analyst: Predictive Analytics for Personalised Care in Nottingham employer: BOOTS
Contact Detail:
BOOTS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Analyst: Predictive Analytics for Personalised Care in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the Data Science and Analytics team. A friendly chat can give us insider info on what they're really looking for in a Clinical Analyst.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your predictive models or any relevant projects you've worked on. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to SQL and Python. We can even do mock interviews with friends to boost our confidence before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with enhancing customer experience in personalised care.
We think you need these skills to ace Clinical Analyst: Predictive Analytics for Personalised Care in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and data science. We want to see how your skills in SQL and Python can contribute to our team, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about predictive analytics and how you can enhance personalised care. Keep it engaging and let your personality come through.
Showcase Your Projects: If you've worked on any predictive models or data-driven projects, make sure to mention them! We love seeing real examples of your work that demonstrate your analytical skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at BOOTS
✨Know Your Data Science Basics
Make sure you brush up on your analytics and data science fundamentals. Be prepared to discuss your experience with predictive modelling, SQL, and Python. Having specific examples ready will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Understand the Company’s Focus
Research the healthcare and retail leader's mission and values. Understanding how they leverage customer data for personalised communications will help you align your answers with their goals. This shows genuine interest and helps you stand out as a candidate who fits their culture.
✨Prepare for Technical Questions
Expect technical questions related to SQL and Python. Practise coding challenges or case studies that involve data analysis. Being able to demonstrate your problem-solving skills on the spot will impress the interviewers and highlight your analytical capabilities.
✨Show Your Passion for Customer Experience
Since the role focuses on enhancing customer experience through data insights, be ready to share your thoughts on how data can improve customer interactions. Discuss any relevant projects or experiences where you’ve successfully used data to drive positive outcomes for customers.
