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Talent Acquisition @ SiriusPoint | Insurance Talent Acquisition

Description

Business Intelligence Analyst

London - Hybrid

Who We Are

SiriusPoint is a global underwriter of insurance and reinsurance providing solutions to clients and brokers around the world. Bermuda-headquartered with offices in New York, London, Stockholm and other locations, we are listed on the New York Stock Exchange (SPNT). We have licenses to write Property & Casualty and Accident & Health insurance and reinsurance globally. Our offering and distribution capabilities are strengthened by a portfolio of strategic partnerships with Managing General Agents and Program Administrators. With approximately $2.7 billion total capital, SiriusPoint’s operating companies have a financial strength rating of A- (Excellent) from AM Best, S&P and Fitch, and A3 from Moody’s.

Join Our Team

You will be a Business Intelligence Analyst. We are looking for a highly analytical and detail-oriented Business Intelligence (BI) Analyst, preferably with a strong background in the insurance sector. The role will require the ability to extract and transform complex data into actionable insights which will support strategic decision making. This role requires a blend of technical expertise, insurance know how, and excellent communication skills. The role will require not only the ability to understand the business requirements but also to work with existing data and infrastructure constraints whilst remaining abreast of data transformation projects underway in order to transition dashboards and reporting as necessary.

Your responsibilities will include:

• Design, develop, and maintain robust BI solutions, dashboards, and reports using various BI tools (likely Power BI) to show visualisations of KPIs, KRIs and trends. These will include items such as pricing/rater data (including actual v technical, RARC), exposure management data, loss ratio tracking (AvE) and other claims data, premium data (written v earned v plan, retention, new business etc) and commercial data (performance by distribution, acquisition costs etc) at class, sub class, geography etc.
• Work closely with stakeholders in CUO office and the business (including all product leads) to understand their requirements and translate them into effective BI solutions. Liaise with Claims, Reserving etc.
• Perform in-depth data analysis to identify patterns, anomalies, and opportunities for improvement and business growth within the insurance lifecycle.
• Collaborate with existing data project lead, transformation office, data engineers and IT teams to ensure data availability, quality, and consistency for reporting and analytical purposes.
• Develop and optimize SQL (or similar) queries to extract, transform, and load data from various source systems, ensuring data accuracy and integrity.
• Conduct ad-hoc analysis and provide insights to support specific business initiatives and strategic projects.
• Document data models, reports, and BI processes to ensure maintainability and knowledge transfer.
• Stay up-to-date with industry best practices in BI, data analytics, and insurance trends.
• Provide training and support to end-users on BI tools and reports.
  
  

• Integrity: Integrity, respect and trust are our core principles
• Customer Focused: Our customers are the reason we exist
• Solution Driven: Creating solutions is our mindset
• Diversity: Diversity, inclusion and allyship make us stronger
• Collaboration: Collaboration drives our performance
  
  

• Proven experience (3+ years) as a BI Analyst or similar role, preferably within the insurance industry (specialty insurance/reinsurance/Lloyd’s etc.).
• Strong proficiency in SQL or similar for data extraction, manipulation, and analysis.
• Expertise in at least one leading BI tool (e.g., Microsoft Power BI, Tableau, Qlik Sense) with a well developed ability to produce data visualisations in the form of dashboards and reports.
• Solid understanding of insurance business processes, data models, and key metrics (e.g. loss ratio, combined ratio, IBNR, premium income, claims frequency/severity, ALC etc.).
• Experience with data warehousing concepts and data modeling techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex technical information clearly and concisely to non-technical stakeholders.
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Insurance

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