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Karen Clark & Company seeks a Senior Data Analyst to join our consulting team in our Downtown Boston office. Senior Data Analysts support complex consulting projects and partake in the extensive validation and finalization process of KCC’s catastrophe computer models, as well as developing internal tools and automations.
As a Senior Data Analyst, you will work closely with the consulting, software development, and model development teams to ensure that our models are meeting the needs of the clients and software as well as capturing the meteorology and atmospheric behavior of the peril at hand. You will conduct intensive validation and quality assurance reviews of model and software versions to ensure that KCC continues to release top of the line catastrophe models that major insurers and reinsurers will use to help make important decisions about their risks and portfolios. Additionally, you will work to develop internal tools and programs that improve the efficiency and automation of the client services team and our clients.
Join the KCC team and have a hand in the future of both the insurance and catastrophe risk modeling industries.
About KCC
Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to enhance risk management strategies and climate resiliency. KCC modeling technology currently covers tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 80 countries. For more information, please visit www.kcc.us.com
Responsibilities
Data Analytics
Software Analytics
Client Services
Qualifications
Full Time
Preschool & Daycare
$93k-122k (estimate)
01/12/2023
04/26/2024
karenclarkdancestudio.com
Langhorne, PA
<25
Preschool & Daycare
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Does statistical analysis, explanatory and predictive modeling, data mining.
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Systems are then sent to the senior data analytics management for approval and feedback.
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Learn Data Analytics Fundamentals.
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