Top Remote Data & Analytics Jobs in Miami, FL

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

The Vehicle Data Editor will manage automotive data entry, ensuring completeness and accuracy by researching and interpreting data from OEMs and assisting in data cleanup projects.

The Product Analyst will analyze product performance, manage workloads, document processes, support product reviews, and generate reports while collaborating with teams.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

The People Analytics Consultant leads analytics projects, providing strategic consultation and insights while managing analytics platform governance and driving tool adoption.

As a Spanish Search Quality Rater, you will review and grade internet content to help improve search engine performance based on user keywords, working remotely for up to 29 hours a week.

The Manager of Customer Insights & Data Analytics analyzes customer usage data, identifies opportunities, improves data infrastructure, and communicates actionable insights to stakeholders to drive business performance.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.