Top Data & Analytics Jobs in Lexington, KY

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.

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.

The Manager, Advanced Analytics leads business analytics initiatives, providing insights to cross-functional teams and managing eCommerce analytics projects to improve business performance.

The role involves developing insights from data to shape strategies for eyewear and software operations, focusing on customer experience, operational efficiency, and business growth. Collaboration across functions and advanced analytics are key to identify trends and enhance the customer journey.

The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.

The Data Visualization Developer will create professional dashboards and visual analytics by translating data requirements into BI outputs, primarily using Snowflake as the data source and tools like Tableau and Power BI.