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As a Senior Catastrophe Analyst at CNA, you will drive improvements in catastrophe risk management by overseeing portfolio processes, designing database systems, developing risk pricing tools, and providing analytics to enhance portfolio profitability. You will interact with multiple teams and lead special projects, while also guiding less experienced colleagues.
The Data Analytics Director will lead a team in the Long Term Care business unit, bridging business knowledge with data analytics expertise to improve operations using tools like Google Cloud Platform, Looker, and BigQuery. Responsibilities include managing and developing the analytics team, partnering with various leaders, and translating business challenges into innovative analytics projects.
The IT Data/Business Analysis Sr Specialist at CNA will analyze data, create reports, and lead project teams to address business needs. Responsibilities include formulating systems scope, managing project resources, and collaborating with stakeholders to define deliverables. A strong understanding of the insurance industry and data analytics is crucial.
The role involves designing, developing, and integrating strategic data applications, building large-scale data processing systems on Google Cloud, and leading data pipeline automation. Responsibilities include ensuring accuracy through robust testing, adhering to quality standards in an Agile environment, and applying machine learning when relevant.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
The Sr. Data Engineer in this role will design, develop, and integrate large-scale data applications on Google Cloud Platform, lead data pipeline automation and testing, and drive innovative data solutions for reporting and analytics while ensuring quality in an Agile environment.
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