Top Remote Data Analysis Jobs in Lexington, KY

The Senior Data Analyst will collaborate across teams to provide insights, build analytics databases, create dashboards, and automate reporting solutions. They will analyze data trends and partner with IT and product teams to enhance data models.

The Chief Actuary leads actuarial functions including forecasting, reserving, and contracting for Aledade, mentoring teams and influencing health partnerships.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

The Senior Director of Biostatistics at Gilead leads data analysis initiatives, directs cross-functional teams, and supports company priorities in statistical analysis and reporting. They ensure effective scientific communication and contribute to strategic departmental initiatives.

The Principal Statistical Programmer supports Epidemiology by preparing Real World data, conducting analyses, programming data tools, and liaising with stakeholders on multiple projects. Responsibilities include creating analytical databases, producing reports, and managing relationships with clients and investigators.

The Business Analyst will support the Insurance Discovery team by analyzing data, managing technical requirements, ensuring data integrity, and collaborating across departments for operational excellence.

Lead statistical programming for clinical trials, managing programmers and CROs. Oversee programming activities, ensuring timely support for clinical projects and developing programming processes.

As a Senior Marketing Data Scientist, you will lead marketing tests, conduct analyses, and utilize tools like Python and SQL to enhance marketing strategies and performance insights.

The Billing Automation Analyst manages billing verification processes, ensuring accuracy in vendor invoices and internal data, while improving operational efficiencies through data analysis.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.