
Actuarial Data & Reporting, Data Analytics/Programmer II
Posted Oct 9

Posted Oct 9
This is a fully remote position, open to applicants in United States.
β’ Collaborate with insurance statistical data, internal business metrics, and external data sources to support Actuarial Data & Reporting.
β’ Assist in regulatory reporting and internal projects such as Data Harmonization.
β’ Comprehend regulations and requirements related to regulatory reporting, data sources, quality assurance, and reporting.
β’ Ensure that data and reporting are effectively managed, precise, comprehensive, and delivered within business and regulatory timelines.
β’ Design and uphold data systems and databases adhering to high-quality standards.
β’ Implement ongoing automated quality assurance and resolve coding and data-related issues.
β’ Engage in peer review and adhere to established data governance standards.
β’ Analyze data relationships to assess data quality and statistical integrity.
β’ Examine primary and secondary data sources and restructure data for enhanced readability for both humans and machines.
β’ Generate precise and timely executive reports that convey trends, patterns, and forecasts.
β’ Develop and sustain documentation that allows stakeholders to comprehend and replicate analyses.
β’ Offer customer support to AAIS Members regarding the quality of data submissions.
β’ Collaborate with Actuarial teams on automating actuarial analyses, analytic products, Data Harmonization, and testing processes.
β’ Work alongside data customers to organize, communicate, and manage data assets.
β’ Analyze and visualize extensive, complex, and unique data sets.
β’ Perform additional tasks as assigned or requested.
β’ A Bachelor's degree in Business, Math, Computer Science, or another data engineering-related field.
β’ Over 5 years of full-time experience in data analysis, including SQL and Python programming.
β’ Proficiency in Excel and the Microsoft 360 suite, with a focus on Power BI.
β’ More than 7 years of experience in the property casualty insurance industry in an analytical or statistical role, or a Masterβs Degree in an analytical discipline.
β’ Familiarity with Data Governance concepts and practices, including analytic methods and tools, supported by ongoing education and training.
β’ Experience in analytical models and utilizing data to inform business decisions.
β’ Working knowledge of Property and Casualty Insurance products and statistical data.
β’ Intermediate to advanced skills in writing SQL queries and database management.
β’ Prior exposure to large structured and unstructured data sets, including statistical analysis and data visualization.
β’ Experience with Databricks is a plus.
β’ A proven track record of success and excellence in previous work and educational experiences.
β’ Ability to juggle multiple priorities while meeting agreed-upon deadlines.
β’ Exceptional written and verbal communication skills.
β’ Strong analytical thinking, problem-solving, critical-thinking, collaboration, and mentoring abilities.
β’ Minimal travel required for annual all-company gatherings or team design sessions, up to 5% of the time.
β’ 10% annual bonus.
β’ Minimal travel required for annual all-company gatherings or team design sessions (up to 5% of the time).
β’ Fully remote work arrangement.
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