Top Data & Analytics Jobs in Lexington, KY

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

The Senior Digital Strategist & UX Researcher will drive user research and digital strategy for nonprofits, guiding decision-making and delivering actionable insights to clients.

The Data Engineer will build and maintain scalable data pipelines, ensure data quality, and collaborate with teams to meet data requirements for federal government projects.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

The Sr. FWA Analyst identifies fraud, waste, and abuse in medical billing through data analysis, supporting engineering and data science teams with validation and tuning of detection algorithms.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The Sr. Data Analyst (Operations) will translate business problems into measurable analytics, lead projects, manage stakeholders, and develop dashboards using SQL and Tableau to improve operations.

The Principal, Volume Forecasting will lead the end-to-end forecasting process, utilizing data-driven models and AI tools to influence strategic decisions, manage stakeholder input, and analyze market impacts on demand.

The Supervisor of Analytics Reporting position involves monitoring model performance, developing reports, providing mentorship, and utilizing analytical tools to drive business decisions. Responsibilities include data extraction, reporting on KPIs, and leading the analytics team to achieve business objectives.

The VP of Reporting & Analytics leads the analytics function, developing strategies and insights for stakeholders, enhancing data literacy, and managing analytics teams while driving AI-enabled capabilities and BI infrastructure advancements.