Top Remote Data & Analytics Jobs in Jacksonville, FL

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.

The Digital Data Analyst analyzes customer digital journeys, provides insights to drive marketing decisions, and supports testing and optimization efforts.

The Informatics Architect will design data pipelines, manage BI environments, and use cloud technologies for data architecture. Responsibilities include working with leadership for data requirements, and developing dashboards using Agile methodologies to ensure project alignment and effective reporting.

Lead the analytics function for epocrates' subscription business. Manage product analysts, assess feature performance, and support strategic insights for product decisions.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.