{"schemaVersion":"jobsearcher.job.v1","id":"ddb6d7bcbaa2118539eeae62","url":"https://jobsearcher.com/jobs/ddb6d7bcbaa2118539eeae62","canonicalUrl":"https://jobsearcher.com/jobs/ddb6d7bcbaa2118539eeae62","title":"Analytics Application Engineer","description":"Chubb is the world’s largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.\nThe North America Data Analytics team at Chubb is seeking an analytics application engineer with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for building data pipelines and delivering data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.\nAs an analytics application engineer for North America Data Analytics, you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the evaluation, implementation, and monitoring of predictive models.\nIn this role you will: Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process.\nCreate and maintain automated and semi-automated data pipelines within on-prem servers as well as in cloud (Azure).\nPlay an active role in model deployment and testing.\nCreate excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.\nEffectively communicate with key stakeholders in written, oral and presentation formats.\nQUALIFICATIONS Required Significant programming experience Python to create scalable functions.\nWorking knowledge/familiarity with Git version control.\nSolid understanding of databases and ETL/ELT best practices.\nHands-on experience with big data technologies and cloud (Databricks/Spark, Azure/AWS/GCP).\nExperience with architecting and consuming APIs in a scalable fashion.\nAbility to multi-task, learn new things quickly, and have excellent problem solving & communication skills.\nA mindset for collaboration, self motivated, knowledge sharing, and keeping up to date on emerging industry trends.\nSelf-motivated, detail-oriented with a mindset for collaboration, knowledge sharing, and keeping up to date on emerging industry trends.\nPreferred Comfortable with command line (Linux, Windows) scripting.\nStrong programming ability in SQL.\nStrong expertise in authoring ETL pipelines and processing data at scale.\nNice to have Experience with at least one other programming language (Julia, Scala, Go, Java, etc.).\nExposure to technologies such as DBT, Apache AirFlow or Luigi.\nWorking knowledge of containerization technologies [eg. Docker]\nExposure to CI-CD pipelines.\nComfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.).\nEducation Bachelor’s degree in a technical field such as Computer Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus).\nABOUT US Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.\n\n#J-18808-Ljbffr","company":"Chubb","rawCompany":"chubb","city":"Simsbury","state":"CT","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:53:40.304Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"524126","title":"Direct Property and Casualty Insurance Carriers","slug":"direct-property-and-casualty-insurance-carriers"},{"code":"524298","title":"All Other Insurance Related Activities","slug":"all-other-insurance-related-activities"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Application Engineer","description":"Chubb is the world’s largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.\nThe North America Data Analytics team at Chubb is seeking an analytics application engineer with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for building data pipelines and delivering data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.\nAs an analytics application engineer for North America Data Analytics, you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the evaluation, implementation, and monitoring of predictive models.\nIn this role you will: Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process.\nCreate and maintain automated and semi-automated data pipelines within on-prem servers as well as in cloud (Azure).\nPlay an active role in model deployment and testing.\nCreate excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.\nEffectively communicate with key stakeholders in written, oral and presentation formats.\nQUALIFICATIONS Required Significant programming experience Python to create scalable functions.\nWorking knowledge/familiarity with Git version control.\nSolid understanding of databases and ETL/ELT best practices.\nHands-on experience with big data technologies and cloud (Databricks/Spark, Azure/AWS/GCP).\nExperience with architecting and consuming APIs in a scalable fashion.\nAbility to multi-task, learn new things quickly, and have excellent problem solving & communication skills.\nA mindset for collaboration, self motivated, knowledge sharing, and keeping up to date on emerging industry trends.\nSelf-motivated, detail-oriented with a mindset for collaboration, knowledge sharing, and keeping up to date on emerging industry trends.\nPreferred Comfortable with command line (Linux, Windows) scripting.\nStrong programming ability in SQL.\nStrong expertise in authoring ETL pipelines and processing data at scale.\nNice to have Experience with at least one other programming language (Julia, Scala, Go, Java, etc.).\nExposure to technologies such as DBT, Apache AirFlow or Luigi.\nWorking knowledge of containerization technologies [eg. Docker]\nExposure to CI-CD pipelines.\nComfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.).\nEducation Bachelor’s degree in a technical field such as Computer Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus).\nABOUT US Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:53:40.304Z","dateModified":"2026-07-16T03:53:40.304Z","hiringOrganization":{"@type":"Organization","name":"Chubb","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Simsbury","addressRegion":"CT","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ddb6d7bcbaa2118539eeae62"},"url":"https://jobsearcher.com/jobs/ddb6d7bcbaa2118539eeae62"}}