We seek an experienced Insurance Analytics Specialist/Actuary to join our team. In this role, you will be part of an engaging and dynamic brokering team building insurance products that uses creative analytics solutions to advocate for our clients. You will also serve as the daily liaison between our account team and our internal analytics partners, ensuring data completeness and quality, as well as managing workflow and work quality.  The ideal candidate will have a strong foundation in insurance analytics, a solid understanding of fundamental insurance concepts, and the ability to transform complex data into actionable insights. Key ResponsibilitiesAdvanced Analytics for Bespoke Analysis•    Perform sophisticated analytical research on specialized insurance topics, including innovative initiatives in autonomy and actuarial research •    Design and implement analytical models to evaluate risk factors, pricing implications, and coverage considerations for specialized insurance scenarios•    Translate complex insurance data into meaningful insights that drive strategic decision-making•    Develop data visualization tools to communicate analytical findings to stakeholders at various levels effectively•    Research industry trends and emerging risks to provide proactive recommendations on underwriting approaches•    Support internal analytics initiatives by applying statistical techniques to uncover patterns and relationships within insurance data Data Review and Workload Management with our internal Analytics partners•    Serve as the primary liaison between our team and internal analytics partners, anticipating their data requirements and questions•    Conduct comprehensive data validation checks to ensure completeness and accuracy •    Identify and resolve data discrepancies or missing elements independently •    Develop and implement standardized data preparation procedures to ensure efficient workload management, streamline the review process, and minimize delays Required Qualifications•    Bachelor's degree in Analytics, Statistics, Actuarial Science, Finance, Economics, Insurance, or related field•    At least 4-6 years of experience in insurance analytics, data analysis, or a related role within the insurance industry•    Demonstrated understanding of fundamental insurance concepts, including supply/demand dynamics, loss components, and their interrelationships•    Proficiency in data analysis tools such as Excel, SQL, and Python•    Experience with data quality assurance processes and validation methodologies•    Strong analytical skills with the ability to interpret complex datasets and identify meaningful patterns Preferred Qualifications•    Insurance industry certifications such as ACAS, CPCU, or ARM•    Experience working with claims data, policy information, and underwriting systems•    Background in predictive modeling or machine learning applications in insurance•    Knowledge of the forefront of technology innovations and related insurance implications•    Experience with data visualization tools like Tableau or Power BI Skills and Competencies•    Exceptional attention to detail and commitment to data accuracy and integrity•    Strong critical thinking and problem-solving abilities to address complex analytical challenges•    Collaborate effectively across internal teams and external partners by understanding diverse stakeholder priorities and delivering solutions that align technical requirements with organizational objectives•    Excellent communication skills to adapt communication approaches and translate technical findings into business insights•    Self-motivation and the ability to work independently while managing multiple priorities•    Collaborative mindset with the ability to work effectively with cross-functional teams•    Advanced knowledge of insurance industry terminology, products, and regulatory considerations Working ConditionsThis full-time position primarily operates in an office environment. The role may require occasional travel to meet with partners or attend industry events. Some flexibility in work scheduling may be necessary to meet project deadlines.