Top Data & Analytics Jobs in Miami, FL

The SEO Innovation Specialist will manage SEO strategies, conduct audits, optimize content, and leverage AI tools for performance analysis.

The Business Analyst will support product development by gathering requirements, analyzing issues, conducting UAT testing, and collaborating with stakeholders across functions.

The Data & AI Consultant leads project implementations, builds client relationships, mentors junior staff, and develops technical data solutions using Microsoft technologies.

The Risk and Underwriting Analyst supports risk management initiatives by monitoring merchant transactions, conducting risk assessments, and assisting in underwriting processes. Responsibilities include reviewing reports, investigating fraudulent activity, and collaborating with banks and internal teams to mitigate risks and ensure compliance.

As a Senior Credit Risk Manager, you'll oversee credit risk underwriting for Plaid Transfer, manage financial exposure, make risk decisions, and collaborate with multiple teams to ensure safe and scalable money movement.

As a Senior Marketing Analyst, you will lead marketing analytics, develop attribution models, optimize spend, and collaborate to improve engagement and performance metrics.

The Senior Manager, SEO oversees SEO strategy for clients, conducts audits, leads teams, and ensures project success, enhancing online visibility.

The Portfolio Analyst is responsible for performance reporting, data management, market research, and collaboration across investment teams to optimize outcomes.

As a Solutions Architect, you will design and implement advanced Conversational AI solutions, manage high-impact projects, provide technical insights, and ensure customer success.

Maintain and update database records, verify data accuracy and completeness, generate reports for management, assist with data-related administrative tasks, and support other departments with data needs.

Review and audit data entries to ensure accuracy and integrity, report and coordinate corrections, perform routine quality checks, maintain data standards, and support other departments with verification tasks.

Process, validate, and maintain large datasets to ensure accuracy across systems. Verify and correct errors, generate management reports, support audits and quality checks, and preserve data integrity across platforms.