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- Tasks: Transform data into actionable insights and present findings to stakeholders.
- Company: Global insurance company based in London with a focus on innovation.
- Benefits: Flexible working hours, 12% pension scheme, and private medical insurance.
- Why this job: Join a dynamic team and make a real impact with your data skills.
- Qualifications: Proficiency in SQL, Python, and Power BI is essential.
- Other info: Hybrid work model with opportunities for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A global insurance company based in London is seeking a Senior Data Analyst to transform data into actionable insights. You will analyze substantial historical datasets, collaborate with stakeholders, and present findings. Proficiency in SQL, Python, and Power BI is essential.
This role offers flexibility with a part-time or full-time arrangement and a comprehensive benefits package including a 12% pension scheme and private medical insurance.
Senior Data Analyst – Hybrid (London) with AI & Power BI employer: Zurich Insurance
Contact Detail:
Zurich Insurance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst – Hybrid (London) with AI & Power BI
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using SQL, Python, and Power BI. This will help us demonstrate your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us nail down our responses and boost our confidence before the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Analyst – Hybrid (London) with AI & Power BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Power BI. We want to see how you've transformed data into actionable insights in your previous roles, so don’t hold back!
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 role. Share specific examples of your work and how you’ve collaborated with stakeholders to drive results.
Showcase Your Analytical Skills: In your application, emphasise your ability to analyse substantial datasets. We’re looking for someone who can not only crunch numbers but also present findings in a clear and engaging way, so include any relevant projects or presentations.
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 don’t miss out on any important updates about the hiring process!
How to prepare for a job interview at Zurich Insurance
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Power BI skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data and derive insights. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle real-world data challenges. Think of examples from your past experience where you transformed complex datasets into actionable insights. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Engage with Stakeholders
Since collaboration is key in this role, be prepared to discuss how you’ve worked with stakeholders in the past. Share examples of how you’ve communicated findings and influenced decision-making. This will demonstrate your ability to bridge the gap between data analysis and business strategy.
✨Show Your Flexibility
With the hybrid work model, it’s important to express your adaptability. Talk about your experience working in different environments, whether remote or in-office, and how you manage your time effectively. This will reassure them that you can thrive in a flexible work setting.
