Data Analyst - Reinsurance

Job Title: Senior Data Analyst - Reinsurance

Employment Type: Full Time

Industry: Insurance & Reinsurance

Workplace Type: On-site – 4 days per week onsite

Location: Manhattan, New York, United States

• This client does not provide Visa sponsorship – US citizenship or Green Card status only will be considered
  
  

Job Description:

The Senior Data Analyst position will sit within the Reinsurance Business Intelligence group and play a pivotal role in guiding the group in providing data insights to support strategic projects and decision-making. This individual will be responsible for managing and enhancing their reinsurance reporting processes, developing insightful data analytics, and creating interactive dashboards using Power BI. The ideal candidate will have a strong background in reinsurance, data analytics, and process improvement, with a proven ability to translate complex data into actionable insights.

Key Responsibilities:

Reinsurance Reporting:

• Manage and drive the reinsurance reporting process, ensuring accuracy, timeliness, and compliance with regulatory requirements.
• Upgrade and increase flexibility of reinsurance renewal and audit data calls.
• Develop and maintain comprehensive reinsurance reports for internal and external stakeholders.
• Collaborate with reinsurance, finance, and actuarial teams to gather and analyze data for reporting purposes.
  
  

Data Analytics:

• Perform detailed data analysis to identify trends, patterns, and insights that support business decision-making.
• Utilize advanced analytical techniques to interpret complex data sets and provide actionable recommendations.
• Develop predictive models and risk assessments to support reinsurance strategies.
  
  

Process Improvements:

• Identify opportunities for process improvements within the reinsurance reporting and data analytics functions.
• Implement best practices and streamline workflows to enhance efficiency and accuracy.
• Lead initiatives to automate manual processes and reduce operational risks.
  
  

Dashboard Creation:

• Design and develop interactive dashboards using Power BI to visualize key metrics and performance indicators.
• Ensure dashboards are user-friendly, visually appealing, and provide real-time insights to stakeholders.
• Continuously enhance and update dashboards based on user feedback and evolving business needs.
  
  

Power BI Expertise:

• Serve as the subject matter expert for Power BI, providing guidance and support to team members.
• Develop and maintain Power BI reports, datasets, and data models.
• Train and mentor team members on Power BI best practices and advanced functionalities.
  
  

Project Leadership:

• Collaborate with cross-functional teams to identify business needs and translate them into data-driven deliverables and solutions.
• Manage multiple projects simultaneously, ensuring timely delivery and alignment with business goals.
• Assist in the development of business requirements documentation and user acceptance test (UAT) execution.
• Collaborate with IT and data engineering teams to optimize data infrastructure, streamline data workflows, and develop new data pipelines where applicable.
  
  

Qualifications:

• Bachelor's degree in Finance, Accounting, Data Science, Statistics, Economics, Engineering, Mathematics, Computer Science, or a related field.
• 3-5 years of experience in reinsurance reporting, data analytics, or a similar role within the insurance industry.
• Minimum of 4 years of experience in data analytics, with experience leading end-to-end projects.
• Proficiency in Power BI, including data modeling.
• Strong proficiency in data analysis tools and programming languages such as SQL, Python, R, etc.
• Extensive experience with data visualization and data presentation using tools such as Power BI, Tableau, Looker, etc.
• Strong analytical skills with the ability to interpret complex data and provide actionable insights.
• Experience with SQL, Excel, and other data analysis tools.
• Excellent communication and presentation skills, with the ability to convey complex information to non-technical stakeholders.
• Strong attention to detail and a commitment to accuracy.
• Proven track record of driving process improvements and implementing best practices.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience in the insurance industry, with a solid understanding of insurance products, underwriting, claims, and risk management.
• Ability to translate business needs and challenges into technical requirements to work with relevant data engineering and software engineering teams on developing deliverables which make tangible business impact.
  
  

Preferred Qualifications:

• Advanced degree or professional certification (e.g., CPCU, ARe, CFA).
• Experience with other data visualization tools (e.g., Power BI preferred, Tableau, Qlik).
• Knowledge of reinsurance treaties and regulatory requirements.