At a Glance
- Tasks: Design and implement ETL pipelines while delivering valuable insights through reporting tools.
- Company: Leading recruitment firm in the UK with a focus on the insurance sector.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Based in Central London, offering a vibrant work environment.
- Why this job: Join a dynamic team and make an impact in the insurance industry with your data skills.
- Qualifications: 5+ years of experience in data analysis, strong SQL and Azure Data Factory knowledge.
The predicted salary is between 50000 - 65000 £ per year.
A leading recruitment firm in the UK is seeking an experienced Data Analyst for a role in the insurance sector. The successful candidate will design and implement ETL pipelines, ensure data quality, and deliver insights through reporting tools.
Applicants should have 5+ years of experience with strong knowledge in SQL and Azure Data Factory. This is a full-time position offering a hybrid working model based in Central London.
Insurance Data Analyst: ETL & Insights (Hybrid) employer: JSS Search
As a Senior Procurement Manager at our global manufacturing firm, you will thrive in a dynamic work culture that prioritises innovation and sustainability. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all while being part of a team that values collaboration and forward-thinking solutions in procurement.
StudySmarter Expert Advice🤫
We think this is how you could land Insurance Data Analyst: ETL & Insights (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data analysis sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL projects and insights you've delivered. This visual proof of your expertise can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on SQL and Azure Data Factory, and be ready to discuss how you've tackled data quality issues in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find roles that match your skills and experience. Plus, we love seeing familiar faces!
We think you need these skills to ace Insurance Data Analyst: ETL & Insights (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ETL pipelines and data quality. We want to see how your skills in SQL and Azure Data Factory align with what we're looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about the insurance sector and how your insights can make a difference. Be genuine and let your personality shine through!
Showcase Relevant Projects:If you've worked on any projects that involved data analysis or reporting tools, don’t forget to mention them! We love seeing real-world applications of your skills.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at JSS Search
✨Know Your ETL Inside Out
Make sure you can discuss your experience with designing and implementing ETL pipelines in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will show your problem-solving skills.
✨SQL Skills on Display
Brush up on your SQL knowledge before the interview. Prepare to answer technical questions or even solve problems on the spot. Practising common SQL queries and understanding how to optimise them will give you an edge.
✨Data Quality Matters
Be prepared to talk about how you ensure data quality in your work. Discuss any tools or methodologies you use to validate data and maintain accuracy, as this is crucial in the insurance sector.
✨Insights Through Reporting Tools
Familiarise yourself with the reporting tools you’ve used in the past. Be ready to explain how you’ve turned data into actionable insights and how that has impacted decision-making in previous roles.
