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- Tasks: Create innovative algorithms and develop advanced analytics models to solve business challenges.
- Company: Join a leading firm in the healthcare analytics sector with a focus on innovation.
- Benefits: Attractive salary, health benefits, and opportunities for professional growth.
- Other info: Lead a dynamic team in a fast-paced environment with excellent career advancement potential.
- Why this job: Make a real impact by leveraging data to drive business decisions in healthcare.
- Qualifications: 9+ years of experience in analytics, programming skills in SQL and Python required.
The predicted salary is between 70000 - 90000 £ per year.
Professionals in this group are expected to create new algorithms from scratch. They work with large data sets and relational databases and have excellent problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly. They focus on the development of Advanced Analytics models to optimize underlying business problems. They are expected to apply state-of-the-art advanced analytics, quantitative tools, and modeling techniques to interpret, make inferences, and offer recommendations based on insights from the data.
Possess knowledge of programming languages, with a focus on machine learning and advanced analytics (SQL, Python, reporting tools) and US Healthcare knowledge is an added advantage.
Responsibilities:
- Be the domain expert on respective area.
- Perform manual selection of claims.
- Review audit findings.
- Generate new selection concepts/queries.
Qualifications: B.E/MCA or equivalent 9+ Yrs.
Senior Manager in London employer: exl
Contact Detail:
exl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field, attend industry events, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your algorithms and analytics projects. We all know that actions speak louder than words, so let your work do the talking when you get the chance to meet potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. We recommend practising with real-world data sets and case studies relevant to the role. This will help you demonstrate your analytical prowess and make a lasting impression.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with algorithms, data sets, and problem-solving skills. We want to see how your background aligns with the role of Senior Manager, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about advanced analytics and how your skills can help us tackle business problems. Be specific about your experience with SQL, Python, and any healthcare knowledge you have.
Showcase Leadership Experience: Since this role may require leading a team, make sure to highlight any leadership experience you have. We love to see examples of how you've managed performance and driven results in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at exl
✨Know Your Algorithms
Make sure you brush up on the algorithms relevant to the role. Be prepared to discuss how you've created or implemented them in the past, and think about specific examples where your work has optimised business problems.
✨Data Set Mastery
Familiarise yourself with large data sets and relational databases. During the interview, be ready to explain how you've handled complex data in previous roles and how you approached problem-solving using advanced analytics.
✨Showcase Your Programming Skills
Since programming languages like SQL and Python are crucial for this role, be prepared to demonstrate your proficiency. You might be asked to solve a coding challenge or discuss your experience with machine learning techniques.
✨Leadership Experience Counts
If the role involves leading a team, highlight your leadership experiences. Share examples of how you've managed performance and fostered collaboration within your team to achieve successful outcomes.