Top Data & Analytics Jobs in Miami, FL

The Senior Korean Linguist manages translation and copy-editing tasks, coordinates with freelancers, and ensures high-quality Korean-language deliverables while improving workflows and supporting quality efforts.

Consult with clients to translate business needs into technical specifications, drive adoption of the Liquid Data platform, build reports and dashboards, support implementation and integrations (APIs, Snowflake/Azure), and manage client deliverables while identifying opportunities for technology and AI-driven improvements.

Serve as a client-facing consultant translating business needs into technical specifications, delivering Liquid Data platform solutions, developing reports/dashboards, supporting implementations, and driving technology adoption while collaborating with internal teams and leveraging cloud, API, and BI integrations.

The Principal Clinical Data Science Lead will oversee data science methodologies in clinical research, manage teams, and ensure data insights support clinical development.

As a Quantitative Strategist, you'll design pricing tools for investment professionals, develop analytics frameworks, and create scalable data pipelines while collaborating with investors to analyze macro financial products.

The Data Modeler is responsible for designing and maintaining data models, performing data profiling, supporting BI initiatives, and ensuring governance alignment.

The Analytics Analyst will develop and maintain reports and dashboards in Salesforce CRMA and Tableau, ensuring data quality and supporting business operations.

The Staff Analytics Engineer will establish a data foundation aiding various teams at Kit by refining reporting models, ensuring consistent metric definitions, and enhancing stakeholder self-service capabilities.

The IT Business Intelligence Analyst analyzes data, creates reports, trains users, and maintains BI tools. Requires expertise in SQL and BI.

Provide advisory, oversight, and validation of Data and AI governance, risk, and control activities. Support risk assessments (PSPRA, RCRA), maintain process risk/control libraries, advise on KRIs, and collaborate with 1LOD/2LOD stakeholders to strengthen governance and compliance.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

Hands-on technical lead designing and delivering secure, scalable Azure analytics solutions. Lead solution architecture, guide implementation, mentor engineers, advise on Power BI architecture and governance, and support delivery, consulting, and reuseable asset creation.