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- Tasks: Join us as a Senior Analytics Engineer, delivering impactful reporting and analytics across our business.
- Company: Canopius is a global leader in specialty insurance, fostering an inclusive and flexible work culture.
- Benefits: Enjoy hybrid working, competitive salary, health insurances, and a supportive wellbeing package.
- Why this job: Be part of a dynamic team using cutting-edge AI and analytics to drive business success.
- Qualifications: Proficiency in Power BI, predictive analytics, Python, and strong stakeholder management skills required.
- Other info: Experience in financial services or insurance is a plus; we value diverse backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a Senior Analytics Engineer to work within our Data Analytics division. The role involves delivering reporting and analytics capabilities across all business areas. Our team has expertise in Power BI and Tabular models, and we are looking for someone with knowledge of predictive analytics and AI to enhance our capabilities. This business-facing role supports planning and coordination of solution delivery in an AGILE environment, especially with our recently launched Data platform leveraging embedded Power BI functionalities.
Responsibilities:
- Collaborate with the business to understand information needs and develop appropriate reporting solutions.
- Develop reports using Power BI, SSAS (Tabular) models, and predictive analytics tools.
- Provide technical guidance and support to the development team as a senior lead on reporting and analytics solutions.
- Maintain and enhance existing reports.
- Test and document new reporting solutions as required.
- Optimize model performance and implement best practices.
- Stay updated on data and reporting technology trends, including AI implementation in 2025.
- Build strong internal client relationships.
- Manage personal task lists and ensure plans are aligned and agreed upon.
Skills & Experience:
- Proficiency in predictive analytics for forecasting and scenario analysis.
- Advanced development of SSAS (Tabular) data models.
- Expertise in Power BI dashboard and paginated report development.
- Experience leveraging AI tools for business value and operational efficiency.
- Proficiency in Python coding.
- Strong skills in DAX query writing.
- Ability to write and optimize T-SQL queries.
- Financial services or insurance experience is advantageous, given the close collaboration with business users.
- Experience with Databricks is beneficial.
- Excellent analytical, problem-solving, communication, and presentation skills.
- Strong stakeholder management skills, capable of working across all levels and functions of the organization.
Our Benefits:
We offer a comprehensive benefits package focusing on overall wellbeing, including hybrid working, competitive salary, pension, discretionary bonus, health and dental insurances, and other health-related benefits.
About Canopius:
Canopius is a global specialty lines (re)insurer and a leading Lloyd's of London market participant, with offices worldwide. We foster a positive, inclusive culture that encourages authenticity and excellence, supporting a flexible, hybrid working environment. We are committed to equal employment opportunities and a discrimination-free workplace, welcoming diverse backgrounds and providing reasonable adjustments as needed.
Senior Analytics Engineer employer: Canopius
Contact Detail:
Canopius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in predictive analytics and AI, as these are crucial for the role. Attend webinars or workshops to deepen your understanding and showcase your commitment to staying updated.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who work with Power BI and SSAS. Engaging in discussions can provide insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented reporting solutions using Power BI or predictive analytics. Real-world examples will demonstrate your expertise and problem-solving skills effectively.
✨Tip Number 4
Showcase your stakeholder management skills by preparing examples of how you've collaborated with various teams in previous roles. This will highlight your ability to build strong internal client relationships, which is key for this position.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, SSAS (Tabular) models, and predictive analytics. Use specific examples that demonstrate your expertise in these areas, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Senior Analytics Engineer role and how your skills align with the responsibilities outlined in the job description. Mention your experience with AI tools and your ability to work in an AGILE environment.
Showcase Your Technical Skills: Be sure to include specific technical skills in your application, such as proficiency in Python coding, DAX query writing, and T-SQL queries. Highlight any experience you have with Databricks and how it relates to the role.
Demonstrate Stakeholder Management: Provide examples of how you've successfully managed relationships with stakeholders in previous roles. This is crucial for the position, so emphasise your communication and presentation skills in your application.
How to prepare for a job interview at Canopius
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Power BI, SSAS (Tabular) models, and predictive analytics during the interview. Be prepared to discuss specific projects where you've successfully implemented these tools, as this will demonstrate your hands-on experience and technical expertise.
✨Understand the Business Context
Since this role is business-facing, it's crucial to understand how analytics can drive business decisions. Research Canopius and its operations within the insurance sector, and be ready to discuss how your analytical skills can support their strategic goals.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and how you would approach real-world challenges. Think of examples from your past experiences where you had to optimise model performance or enhance reporting solutions, and be ready to explain your thought process.
✨Demonstrate Stakeholder Management Skills
Strong stakeholder management is key for this role. Prepare to discuss how you've built relationships with internal clients in previous positions, and provide examples of how you've effectively communicated complex data insights to non-technical stakeholders.
