Top Data & Analytics Jobs in Lexington, KY

The Business Process Analyst manages reporting operations, facilitates change management, supports incident resolution, and implements process improvements to enhance reporting quality and stakeholder satisfaction.

The Clinical Data Scientist II performs advanced data analysis, collaborates on analytical solutions, develops dashboards, and communicates insights to stakeholders.

As a Principal Statistical Programmer, you'll generate datasets, oversee CRO deliverables, support clinical reports, and ensure compliance with FDA regulations.

The Data Engineer will design and implement ETL/ELT data pipelines, optimize performance, ensure data quality, and collaborate on data integration for analytics.

The analyst enhances contact center performance by ensuring data integrity, producing reports, troubleshooting issues, and providing insights for operational improvements.

The Senior Data Engineer will design and implement data pipelines, optimize performance, ensure data quality, and collaborate with teams for analytics and reporting.

The role involves leading global forecasting and performance management, setting standards, overseeing processes, collaborating with cross-functional teams, and developing a high-performing team in the oncology biotech sector.

Lead the creation of analytics strategies, manage data pipelines and reporting solutions, and mentor data professionals while ensuring data usability and quality across the organization.

Build and operate scalable data pipelines and analytics-ready datasets using Python, dbt, and BigQuery. Develop Looker dashboards, ensure data quality and observability, optimize performance and cost, integrate data workflows with backend services and CI/CD, and support analytics, experimentation, and production use cases.

The Reporting Specialist will collect requirements, develop report specifications, and work with the business intelligence team for accurate report creation while ensuring data governance.

The Data Solutions Engineer will architect data systems, build pipelines, ensure data governance, optimize performance, and mentor team members to support analytics and operational workloads.

The Lead Data Management role focuses on improving data processes, leading analysis and resolution of data challenges, and mentoring team members while fostering collaboration and innovation in business intelligence.