Actuarial Data & Reporting, Data Analytics/Programmer II

🕒 October 9

🇺🇸 United States – Remote

💵 $123k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 6%

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AAIS (American Association of Insurance Services)

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1936

💼 Consulting

⚖️ Legal

📦 Logistics

Consulting • Legal • Logistics

AAIS (American Association of Insurance Services) is a member-governed, not-for-profit advisory organization founded in 1936 that provides products and services to property & casualty insurance carriers across the United States. AAIS produces insurance forms, manuals, rating guidance and delivers regulatory compliance support, onboarding, actuarial services, statistical data management and data/technology toolkits (e. g. , FLAMES, Speed to Market, openIDL) to help carriers manage filings, reporting and speed-to-market. The organization focuses on serving member carriers, regulators and partners with advisory solutions, data services and educational resources to support compliant, data-driven insurance operations.

📋 Description

• Work with insurance statistical data, internal business data, and external data sources supporting Actuarial Data & Reporting • Support regulatory reporting and internal initiatives such as Data Harmonization • Understand regulatory reporting regulations, requirements, data sources, quality assurance, and reporting • Ensure data and reporting are well managed, accurate, complete, and delivered by business and regulatory deadlines • Design and maintain data systems and databases to high-quality standards • Implement continuous, automated quality assurance and fix coding and data-related problems • Participate in peer review and comply with data governance standards • Analyze data relationships to determine data quality and statistical validity • Analyze primary and secondary data sources and reorganize data for human or machine readability • Prepare accurate, timely executive reports communicating trends, patterns, and predictions • Create and maintain documentation enabling stakeholders to understand and replicate analyses • Provide customer support to AAIS Members regarding data submission quality • Collaborate with Actuarial on automation of actuarial analyses, analytic products, Data Harmonization, and testing processes • Collaborate with data customers to organize, communicate, and manage data assets • Analyze and visualize large, complex, and unique data sets • Perform additional duties as assigned or requested

🎯 Requirements

• Bachelor's degree in Business, Math, Computer Science, or another data engineering-related discipline • 5+ years of full-time experience in data analysis and SQL & Python programming • Proficiency in Excel and Microsoft 360 suite, including Power BI • 7+ years of property casualty insurance industry experience in an analytic or statistical capacity OR Master’s Degree in an analytic field • Exposure to, ongoing education and training in, and hands-on experience with Data Governance concepts and practice, including analytic methods and tools • Experience in analytical models and leveraging data to make business decisions • Working knowledge of Property and Casualty Insurance products and statistical data • Intermediate to advanced skills in writing SQL queries and working with databases • Previous exposure to large structured and unstructured data sets, including statistical analyses and data visualization • Databricks experience is a plus • A record of success and top-tier achievement in prior work and education experiences • Ability to manage multiple priorities and meet agreed-upon deadlines • Excellent written and oral communication skills • Strong analytical thinking, problem-solving, critical-thinking, collaboration, and mentoring skills • Minimum travel for annual all-company gatherings or team design sessions, up to 5% of the time

🏖️ Benefits

• 10% annual bonus • Minimum travel required for annual all-company gatherings or team design sessions (up to 5% of the time) • Fully remote work arrangement

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