Top Data Analysis Jobs in Lexington, KY

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

The Actuary performs risk assessments, analyzes claims and demographics, builds predictive models, and monitors market trends to manage financial risks for the company.

The Associate Director will lead economic modeling projects, manage teams, and engage in business development, focusing on innovative healthcare therapies.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

Lead end-to-end credit risk analytics to inform underwriting, pricing, and product strategy. Build forecasting, unit-economics, and loss‑forecast models; design and analyze live tests; develop and implement credit policy; partner with cross-functional teams and external partners; apply AI-assisted analytics; and automate credit decisioning to balance growth with portfolio health.

The Manager, Data Analytics & Strategy will lead data projects, design measurement frameworks, and provide actionable insights to shape client outcomes by applying advanced data analysis techniques and overseeing the development of client-facing deliverables.

As a Senior Product Analyst, you will conduct complex quantitative analysis for property & casualty products, manage projects, develop analytical strategies, and communicate findings with stakeholders to enhance product performance.

The Growth Analyst supports capture efforts by producing decision-support artifacts from source documents, using Excel and AI tools for effective organization and analysis of information.

The role involves supporting sales and services initiatives through data analysis, relationship management, and cross-functional collaboration to inform strategies and optimize processes.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.