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- Tasks: Transform complex data into strategic insights and build robust analytics solutions.
- Company: Join a leading technology team in the global Property & Casualty insurance industry.
- Benefits: Enjoy hybrid working, competitive salary, health insurance, and career development opportunities.
- Why this job: Be part of high-impact projects and upskill through our Infinity Program with top data minds.
- Qualifications: Proven experience in data analytics, SQL, Python, and BI tools like Tableau or Power BI.
- Other info: Bonus points for knowledge of Microsoft Fabric and experience with CI/CD in data environments.
The predicted salary is between 36000 - 60000 £ per year.
We are on the hunt for a Senior Data Analyst to join a world-class technology team delivering cutting-edge data solutions for the global Property & Casualty (P&C) insurance industry, particularly reinsurance. If you are passionate about transforming complex data into strategic insights and thrive in a fast-paced, high-impact environment, this is your next big move.
With robust investment in employee growth, you will benefit from continuous upskilling through our Infinity Program, contributing to high-value projects alongside some of the best minds in data and insurance.
Languages & Tools:
- SQL
- Python
- Power BI/Tableau
- XML
- JavaScript
- Azure Data Services
- Microsoft Fabric (nice to have)
- Hadoop
- Spark
- Business Objects
- Agile/Scrum
- CI/CD pipelines
Key Responsibilities:
- Designing and building robust analytics solutions with an emphasis on data quality and efficiency
- Creating data models, databases, and warehousing solutions that serve the insurance/reinsurance space
- Identifying trends, opportunities, and improvements across multiple data streams
Requirements:
- Proven track record in data analytics (ideally in the P&C insurance or reinsurance domain)
- Expertise in SQL, Python, and BI platforms like Tableau or Power BI
- Strong background in data warehousing, data modelling, and statistical analysis
- Experience with distributed computing (Hadoop, Spark) and data profiling
- Hands-on experience with Azure Data Services (or similar cloud platforms)
Bonus Points For:
- Knowledge of Microsoft Fabric
- Experience with CI/CD in data environments
- Familiarity with Agile/Scrum practices
Benefits:
- Competitive salary and benefits package
- Comprehensive health & life insurance
- Career development, mentoring & certification programs
- Hybrid working (3 days in the City of London office)
Ready to shape the future of insurance through data?
Senior BI/Data Analyst (Permanent) employer: Henderson Scott
Contact Detail:
Henderson Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior BI/Data Analyst (Permanent)
✨Tip Number 1
Network with professionals in the insurance and reinsurance sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the specific challenges they face, which can help you tailor your approach during interviews.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data analytics, particularly those relevant to the P&C insurance industry. Being able to discuss current developments in Azure, SQL, and BI tools like Power BI and Tableau will demonstrate your commitment and expertise.
✨Tip Number 3
Prepare to showcase your problem-solving skills through real-world examples. Think of specific projects where you've successfully transformed complex data into actionable insights, as this will resonate well with the hiring team looking for impactful contributions.
✨Tip Number 4
Research StudySmarter's culture and values to align your discussions during the interview. Understanding our commitment to employee growth and the Infinity Program can help you articulate how you would fit into our team and contribute to our goals.
We think you need these skills to ace Senior BI/Data Analyst (Permanent)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly in the insurance or reinsurance sectors. Emphasise your expertise in SQL, Python, and BI tools like Power BI and Tableau.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for transforming complex data into strategic insights. Mention specific projects where you've successfully implemented data solutions, especially in fast-paced environments.
Highlight Technical Skills: Clearly list your technical skills related to the job description, such as Azure Data Services, Hadoop, and Spark. Provide examples of how you've used these tools in previous roles to deliver impactful results.
Showcase Continuous Learning: Mention any relevant certifications or training you've completed, especially those related to data analytics or cloud platforms. Highlight your commitment to continuous upskilling, aligning with the company's focus on employee growth.
How to prepare for a job interview at Henderson Scott
✨Showcase Your Technical Skills
Make sure to highlight your expertise in SQL, Python, and BI tools like Power BI and Tableau. Prepare examples of how you've used these technologies to solve complex data problems, especially in the insurance or reinsurance sectors.
✨Demonstrate Your Analytical Thinking
Be ready to discuss how you've identified trends and opportunities in data streams. Use specific instances from your past experience to illustrate your ability to transform data into strategic insights.
✨Familiarise Yourself with Agile Practices
Since the role involves working in an Agile/Scrum environment, brush up on Agile methodologies. Be prepared to discuss how you've applied these practices in previous projects and how they can enhance team collaboration.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the Infinity Program for employee growth. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
