Top Remote Data & Analytics Jobs in Palm Bay, FL

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

The Senior Data Engineer will design and manage data pipelines, work with complex datasets, and collaborate with teams to enhance data product integrity and effectiveness.

Part-time, remote-first Junior Data Analyst role performing data cleaning, transformation, analysis, and visualization. Generate reports and dashboards, interpret complex datasets, and collaborate with cross-functional teams to inform business decisions.

Design, implement, and maintain database schemas, stored procedures, and queries. Optimize performance, ensure data integrity, security, backup/recovery, and collaborate with developers and IT teams. Monitor, troubleshoot, document systems, and stay current with database technologies.

The Senior Data Scientist will analyze and optimize marketing funnels, build statistical models, conduct experiments, collaborate with teams, and mentor junior members.

The Senior Business Intelligence Analyst will transform data into insights, design dashboards, and provide analytical support for strategic decisions, working closely with stakeholders and teams.

The Data Researcher will collect data, perform data entry, monitor progress, and support the team with data queries, ensuring accuracy in tasks.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

The Data Engineer will build and maintain data platforms, deploy pipelines, monitor transformations, and collaborate with Data Scientists and DevOps.