We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.
Job Description
Identify, research, and track emerging risks and trends that may impact the P/C industry, and then author and publish articles with quantitative insights on the website along with other Emerging Issues deliverables.
Conduct independent research, often in collaboration with our internal subject matter experts (SME) and lines of business.
Mine information data sources and streams include white papers, government reports, scientific studies, news articles , and social media posts for relevant trends.
Expertise with data visualization tools, including geospatial mapping, required.
Identify correlations among available datasets, proxies for risk, and indicators of exposure.
Develop and maintain internal and customer-facing data dashboards.
Analyze internal data to identify where emerging issues data may provide value.
Create new datasets to support the product development of data tools for customers.
Develop and enhance insurance and analytical skills or educational skill sets related to emerging risks, risk management, and similar areas.
Qualifications
Bachelor's degree in a related field.
Minimum 3 years relevant work experience in data journalism
Exemplary written communication skills with proven authoring ability. Can convey technical findings in a non-technical way.
Expertise with data visualization tools, including geospatial mapping, preferred.
Excellent oral communication skills, and able to work independently and as part of a team.
An understanding of insurance and risk management.
Active pursuit of CPCU and/or Actuarial designation or other insurance education preferred.
Has business analytical skills.
Can think creatively and critically.
Proficiency in the use of database programs is preferred.
Can design, develop, implement , and maintain a database and manage data analysis efforts.
Can use tools and technologies to analyze both structured and unstructured data, preferred.
Ability to implement data mining techniques on large data sets and can innovate with multiple data sets preferred.
Proficiency in Word, Power Point, strong Excel, and analytical skills.
Interpersonal skills and ability to multi-task.
Attention to detail.
Project management skills.
Ability to set and meet commitments in a high production environment to achieve tight timeliness deadlines and quality expectations.