Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data and develop systems to ensure quality insights for decision-making.
- Company: Leading insurance solutions provider in the heart of London.
- Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
- Why this job: Join a team where your data skills can drive real change in the insurance industry.
- Qualifications: 10+ years of data analysis experience with SQL, Python, and visualisation tools.
- Other info: Exciting growth potential in a fast-paced, collaborative setting.
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) 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)
✨Tip Number 1
Network like a pro! Reach out to connections in the insurance and data analysis fields. Attend industry events or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data visualisations and projects. This will give you an edge over other candidates and demonstrate your expertise in tools like Power BI or Tableau.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past roles, and think of examples that highlight your ability to ensure data quality and interpret complex datasets.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right opportunities and connect with us directly. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Analyst - P&C & Reinsurance (Azure)
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 your expertise in data visualisation tools like Power BI or Tableau.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Analyst position. Share specific examples of your past work that demonstrate your ability to interpret data and ensure quality.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex data challenges. We love seeing how you approach problems and develop solutions, so don’t hold back on sharing those success stories!
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 in the City of London. Let’s get started on this journey together!
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. Brush up on your skills and be ready to discuss specific projects where you've used these tools effectively.
✨Prepare for Technical Questions
Expect to face technical questions that test your analytical skills. Practice explaining your thought process when interpreting data and developing data collection systems. This will show your depth of knowledge and problem-solving abilities.
✨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 ensured data quality and contributed to growth in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data analysis and how they support career development. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
