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For Companies At a Glance
- Tasks: Define and develop data-centric products while engaging with key stakeholders.
- Company: Leading global advisory firm with a focus on innovation.
- Benefits: Hybrid working options and a comprehensive benefits package for your growth.
- Why this job: Make an impact in the insurance sector with data-driven insights.
- Qualifications: Experience in business analysis and strong communication skills required.
- Other info: Work in Agile environments with opportunities for personal and professional development.
The predicted salary is between 36000 - 60000 £ per year.
A leading global advisory firm is seeking an experienced Technical Business Analyst to define and develop data-centric products. In this role, you will engage with key stakeholders to gather requirements, define core data models across various lines of insurance, and maintain governance over data schemas.
Ideal candidates will have:
- Extensive experience in business analysis
- Strong communication skills
- The ability to work in Agile environments
Enjoy hybrid working options and a comprehensive benefits package designed to support your growth and wellbeing.
Data-Driven Business Analyst (Insurance Data) employer: Willis Towers Watson
Contact Detail:
Willis Towers Watson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Driven Business Analyst (Insurance Data)
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and data analysis fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your Agile methodologies and data governance knowledge. We recommend practising common interview questions with a friend or even in front of the mirror to boost your confidence.
✨Tip Number 3
Showcase your skills through a portfolio! If you’ve worked on any data-centric projects, compile them into a neat presentation. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data-Driven Business Analyst (Insurance Data)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in business analysis and any relevant projects you've worked on, especially those involving data-centric products.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've engaged with stakeholders and defined data models in previous positions.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t hesitate to demonstrate how you’ve effectively communicated complex data concepts in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. 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 Willis Towers Watson
✨Know Your Data Models
Make sure you brush up on your knowledge of data models relevant to the insurance industry. Be prepared to discuss how you've previously defined and developed data-centric products, as this will show your expertise and understanding of the role.
✨Engage with Stakeholders
Think about examples where you've successfully gathered requirements from stakeholders. During the interview, share specific instances that highlight your communication skills and ability to collaborate effectively in an Agile environment.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking by discussing how you've tackled complex business problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data governance practices or how they envision the evolution of data-centric products in the insurance sector.
