Top Data & Analytics Jobs in Lexington, KY

The Revenue Analytics Lead drives data analytics and modeling for revenue operations, overseeing GTM performance metrics, predictive modeling, and data governance while utilizing AI for operational efficiency.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

Lead the architectural direction of Seer's data platform, mentor engineers, optimize data processes, and integrate AI solutions to enhance data-driven decision-making.

The Privacy Manager will lead Sezzle's data privacy strategy, ensure compliance with regulations, conduct risk assessments, and collaborate with cross-functional teams to implement privacy standards.

The Data Research Intern will assist in data collection and analysis, literature reviews, and report writing related to vocational education and training programs.

The Manager of Analytics oversees a team to deliver impactful analytics and insights, supports business decisions, and integrates AI applications in analytics. They also manage testing portfolios and develop actionable insights for marketing strategies.

Responsible for designing and maintaining data infrastructure, developing data pipelines, ensuring data quality, and collaborating with various teams to enhance data utility. Also involves communication with stakeholders and innovative solutions for business success.

The Business Analyst will gather requirements from clients, support project lifecycles, conduct demos, and manage change, while utilizing ServiceNow. Responsibilities include documentation and relationship building.

The Senior Bioinformatics Data Engineer will build data pipelines, implement clinical data ingestion, and optimize platform infrastructure while ensuring data quality and compliance with legal standards.

The Data Migration Specialist manages customer data migrations, including planning, executing, and validating data processes across various formats, collaborating with cross-functional teams to support implementations.