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- Tasks: Enhance and automate MI solutions while building data pipelines and leveraging machine learning.
- Company: Leading UK insurer with a focus on innovation and collaboration.
- Benefits: Excellent benefits, supportive work environment, and hybrid working options.
- Why this job: Make a real impact in the financial services sector with cutting-edge technology.
- Qualifications: Experience in financial services, proficiency in SQL, and data visualisation skills.
- Other info: Collaborative role with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurer in the UK is seeking an Operational MI Analyst to enhance and automate MI solutions. You will focus on building data pipelines, leveraging machine learning for forecasting, and ensuring data governance.
Ideal candidates will have experience in financial services and proficiency in SQL and data visualisation tools. This hybrid role requires collaboration with various stakeholders to optimize operational performance, offering excellent benefits and a supportive work environment.
Operational MI & Forecasting Analyst (Hybrid) in London employer: Direct Line Group Careers
Contact Detail:
Direct Line Group Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operational MI & Forecasting Analyst (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in financial services. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects and any machine learning models you've built. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and data governance topics. Be ready to discuss how you've used these skills in past roles, as this will demonstrate your fit for the Operational MI Analyst position.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role and connect with us directly. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Operational MI & Forecasting Analyst (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in financial services and your skills in SQL and data visualisation tools. We want to see how your background aligns with the role of Operational MI & Forecasting Analyst.
Showcase Your Projects: If you've worked on any projects involving data pipelines or machine learning, be sure to mention them! We love seeing practical examples of how you've enhanced operational performance in your previous roles.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences that relate to the job.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Direct Line Group Careers
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and understand how to manipulate data effectively. Be prepared to discuss specific examples of how you've built data pipelines or used data visualisation tools in previous roles.
✨Showcase Your Forecasting Skills
Since the role involves leveraging machine learning for forecasting, be ready to talk about any relevant projects you've worked on. Highlight your understanding of different forecasting techniques and how you've applied them in a financial services context.
✨Understand the Business
Research the company and its position within the insurance industry. Knowing their products, services, and operational challenges will help you tailor your answers and demonstrate your genuine interest in optimising their operational performance.
✨Prepare for Stakeholder Collaboration
This hybrid role requires working with various stakeholders, so think of examples where you've successfully collaborated with others. Be ready to discuss how you communicate complex data insights to non-technical team members and how you ensure data governance.
