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For Companies At a Glance
- Tasks: Analyse data to uncover insights and create impactful reports for various stakeholders.
- Company: Join Zurich Cover-More, a leader in travel insurance with a global presence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a difference in the travel industry by enhancing customer experiences through data.
- Qualifications: Degree in a relevant field and experience in data analysis required.
- Other info: Dynamic team environment with a focus on innovation and technology.
The predicted salary is between 30000 - 50000 £ per year.
Where will your career take you next? Let's find out together. At Zurich Cover-More, we're proud to be one of the world's leading travel insurance and assistance providers. Each year, we protect more than 20 million travellers worldwide, making sure we're there every step of their journey with proactive care, personalised cover and specialist support.
This role is part of our Cover-More Europe team. Cover-More Europe provides insurance solutions through a number of different customer-facing brands across travel, car hire, specialty, and pet sectors in the United Kingdom, Ireland and the rest of Europe. For more than twenty years, we have been delivering insurance policies through our distribution partnerships.
What you'll be doing:
- Gather, clean, and validate data from multiple sources (internal systems, databases and external providers)
- Ensure high data quality and integrity in all analysis
- Use statistical methods and analytical tools to identify trends, patterns, and key business insights
- Translate complex data into clear findings for technical and non-technical stakeholders
- Develop interactive dashboards and reports using Power BI and Excel
- Present findings in a concise, visually engaging manner, focusing on business impact
- Act as a key business partner to underwriting, claims, finance, and other business areas
- Understand stakeholder requirements and deliver tailored reporting and analytics solutions
- Identify opportunities for automation, self-service analytics, and advanced data solutions
- Champion the adoption of new technologies and best practices in data analytics and reporting
- Proactively manage data-related risks and drive a strong control environment
What skills and experience you'll bring on this journey:
- Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field
- Minimum of 2 years' experience in data analysis, ideally within insurance, financial services, or a similar industry
- Proficiency in analytical tools (Excel, Power BI, etc.)
- Strong analytical and problem-solving skills
- Excellent communication skills, with the ability to simplify complex concepts for different audiences
- Attention to detail and commitment to data quality
- Ability to work both independently and collaboratively
Data Analyst in England employer: Cover-More
Contact Detail:
Cover-More Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Get comfortable explaining your analytical process and how you've used tools like Power BI and Excel to drive business insights. We want you to shine!
✨Tip Number 3
Showcase your skills with a portfolio! Create a few projects that highlight your data cleaning, analysis, and visualisation abilities. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience and skills that match the job description, like your proficiency in Excel and Power BI. We want to see how you can bring value to our team!
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 background aligns with our mission at Zurich Cover-More. Keep it engaging and personal – we love a good story!
Showcase Your Analytical Skills: In your application, don’t just list your skills; demonstrate them! Include examples of how you've used statistical methods or analytical tools to drive business insights. We’re keen to see your problem-solving prowess in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at Cover-More
✨Know Your Data Tools
Make sure you brush up on your skills with Excel and Power BI before the interview. Be ready to discuss how you've used these tools in past roles, and maybe even prepare a mini demo or example of a dashboard you've created. This will show that you're not just familiar with the tools, but that you can use them effectively to drive insights.
✨Understand the Business
Research Zurich Cover-More and its role in the travel insurance industry. Familiarise yourself with their customer-facing brands and think about how data analysis can impact their business. Being able to connect your analytical skills to their specific needs will set you apart from other candidates.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice articulating your thought process clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when discussing past experiences related to data analysis.
✨Communicate Clearly
Since you'll be translating complex data for various stakeholders, practice explaining your findings in simple terms. You might want to prepare a few examples where you've successfully communicated data insights to non-technical audiences. This will demonstrate your ability to bridge the gap between data and decision-making.
