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- Tasks: Analyse data and develop systems to ensure quality and insights.
- Company: Leading insurance solutions provider in the heart of London.
- Benefits: Career development opportunities in a dynamic work environment.
- Why this job: Join a team where your data skills can drive real change.
- Qualifications: 10+ years of data analysis experience with SQL and Python expertise.
- Other info: Exciting role with potential for growth in the insurance sector.
The predicted salary is between 43200 - 72000 £ per year.
A leading solutions provider in insurance is seeking a highly skilled Senior Data Analyst to join their team in the City of London. The successful candidate will have over 10 years of data analysis experience, with expertise in SQL, Python, and data visualization tools like Power BI or Tableau.
Responsibilities include:
- Interpreting data
- Developing data collection systems
- Ensuring data quality
The role supports growth and offers opportunities for career development within a dynamic environment.
Senior Data Analyst - P&C & Reinsurance (Azure) in London employer: ValueMomentum
Contact Detail:
ValueMomentum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - P&C & Reinsurance (Azure) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data analysis fields. We all know that sometimes it’s not just what you know, but who you know. Attend industry events or webinars to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work with SQL, Python, and data visualisation tools like Power BI or Tableau. We can’t stress enough how important it is to have tangible examples of your expertise when you’re in those interviews.
✨Tip Number 3
Prepare for the interview by researching the company and its culture. We want you to be able to demonstrate how your experience aligns with their goals. Tailor your responses to show how you can contribute to their growth and success in the P&C and reinsurance sectors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else. Let’s get you that Senior Data Analyst role!
We think you need these skills to ace Senior Data Analyst - P&C & Reinsurance (Azure) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the insurance industry and how your expertise can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Data Visualisation Skills: Since the role involves data visualisation tools like Power BI or Tableau, include examples of your work in this area. We’re keen to see how you interpret data and present it in a way that tells a story.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ValueMomentum
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in SQL, Python, and data visualisation tools like Power BI or Tableau. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and problem-solving skills.
✨Prepare for Technical Questions
Expect technical questions that test your analytical skills and understanding of data quality. Brush up on common data analysis scenarios and be prepared to explain your thought process clearly. Practising with mock interviews can help you articulate your answers confidently.
✨Showcase Your Experience
With over 10 years of experience, you’ll want to highlight key achievements in your career. Prepare examples that demonstrate how you’ve interpreted data and developed data collection systems, focusing on the impact your work had on previous employers.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their data strategy or how they ensure data quality. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
