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- Tasks: Analyse insurance data and collaborate with stakeholders to drive insights.
- Company: Join a leading recruitment firm working with a top client in the insurance sector.
- Benefits: Competitive salary, performance bonuses, pension scheme, and supportive work environment.
- Why this job: Make an impact in the insurance industry while developing your data skills.
- Qualifications: Experience with SQL and Python, plus strong analytical skills.
- Other info: Exciting opportunity for career growth in a dynamic field.
The predicted salary is between 50000 - 70000 £ per year.
A leading recruitment firm is searching for a Data Analyst to join a prominent client in the insurance industry. You will collaborate with stakeholders to gather data requirements, translate them into actionable data mappings, and utilize SQL and Python for data analysis.
This role offers a competitive salary between £50,000 and £70,000, along with a performance-based bonus, pension scheme, and various benefits, ensuring a supportive work environment.
Hybrid Data Analyst: Insurance Data & Analytics in Bristol employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst: Insurance Data & Analytics in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the insurance industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. We recommend using mock interviews with friends or even recording yourself to refine your answers and boost your confidence.
✨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 roles that you won’t find anywhere else.
We think you need these skills to ace Hybrid Data Analyst: Insurance Data & Analytics in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role in the insurance industry. Highlight your experience with SQL and Python, and don’t forget to mention any relevant projects or collaborations with stakeholders.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how your skills align with the job description. Be sure to mention your understanding of the insurance sector.
Showcase Your Analytical Skills: In your application, provide examples of how you've used data to drive decisions or solve problems. This could be through specific projects or experiences where your analytical skills made a difference.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at hackajob
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Insurance Industry
Familiarise yourself with key concepts in the insurance sector. Knowing how data analytics impacts decision-making in this field will show your potential employer that you're not just a tech whiz, but also understand the business context.
✨Prepare for Stakeholder Questions
Since you'll be collaborating with stakeholders, think about how you would gather data requirements. Prepare examples of how you've successfully communicated with non-technical team members in the past to ensure everyone is on the same page.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific instances where you've turned data into actionable insights. Highlight your analytical thinking and how your contributions led to improved outcomes, especially in previous roles or projects.
