Senior IT Business Analyst optimizing online sales in the insurance sector. Collaborating across business units to define IT solutions and improve customer experience.
About the role
- Actuarial/Business Analyst analyzing insurance data for quality assurance and regulatory compliance. Collaborate with divisions to fulfill contractual obligations and improve processing methodologies.
Responsibilities
- Perform analysis of large data sets to assure the quality of all products and filings.
- Collaborate with other divisions regarding regulatory data needs.
- Support the team in fulfilling contractual obligations at the federal and state levels.
- Preparation of annual Statistical Agent filings and other compilations required by insurance regulators.
- Detailed data reviews, both on transactional and aggregate levels.
- Writing and running programs to extract data for review and report compilation.
- Develop more efficient, automated ways to improve processing including data quality and error detection processes.
- Interaction with ISO’s insurer customers and other organizations regarding data review prior to submission to regulators and state insurance departments.
- Become a subject matter expert on one or more lines of property-casualty insurance business.
Requirements
- Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics).
- 1-3 years of Property-Casualty insurance work experience preferred.
- Passing of at least one actuarial exam is preferred. Commitment to attainment of an insurance professional designation (ACAS, CPCU, AIDM), or of a technology or project management designations.
- Data management skills or knowledge of insurance data management principles is a plus.
- Experience in quantitative and qualitative data analysis.
- Some familiarity with insurance coverages, actuarial methodologies and quality control.
- Technical background should include a working knowledge of MS Office applications and understanding of computer programming / software development concepts.
- Knowledge of SQL, VBA, SAS, R, Python, ETL tools or Business Rules Engines is a plus, as is fluency in cloud databases and workflow scripts (e.g. Jupyter Notebooks)
- Background experience in Tableau, Power BI, ThoughtSpot, Spotfire, COGNOS, or other data visualization software would be advantageous.
- Strong written and oral communication skills.
- Ability to work independently and as part of a team.
- Ability to work under time constraints, multi-task, and adjust plans in the face of changing priorities.
- Continued desire and ability to learn.
- Ability to perform essential duties with or without reasonable accommodation.
Benefits
- Health Insurance
- Retirement Plan
- Disability benefits
- Paid Time Off
- Flexible working hours
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