Top Remote Data & Analytics Jobs in Miami, FL

Lead product analytics: build and maintain dbt models and Looker dashboards, define KPIs, analyze funnel and user journeys, design and evaluate A/B tests, size roadmap impact, and deliver partner and ad-hoc insights to inform product and executive decisions.

Work across data infrastructure and analytics: build and maintain dbt models, ingest and transform data, create dashboards and semantic layers in Power BI, validate AI-generated code, partner with stakeholders to deliver analyses and data products, and improve data governance and documentation.

Lead development and scaling of financial analytics: build data models, dashboards, and reporting; translate financial data into executive insights; embed predictive analytics; partner with Finance, IT, and business units to improve data quality, governance, forecasting, and automation.

Analyze marketing data to uncover acquisition, retention, funnel, and campaign insights. Build Tableau and Looker Studio dashboards, evaluate ad spend and marketing performance, support A/B testing, integrate and validate data from platforms such as Google Ads and GA4, and provide recommendations to marketing, product, and customer experience teams. The role also improves reporting workflows and translates complex analytical findings into actionable business guidance.

Build and maintain scalable data pipelines for healthcare claims; implement de-identification and PII-reduction; ensure data quality and observability; integrate data stores and APIs; draft technical designs and documentation; gather product feedback and iterate quickly.

Build and maintain scalable data platforms, pipelines, observability metrics, metadata-driven solutions, data transformations, and third-party integrations. Collaborate with data scientists, analysts, DevOps, and business stakeholders to deliver accurate, timely data and meaningful insights. Responsibilities include optimizing workflows, implementing infrastructure as code, and supporting cloud-based data systems.

Forecasts call volumes, handle times, and service metrics; develops staff schedules; analyzes workforce and performance data; prepares reports; monitors real-time call and agent activity; performs ad hoc and operational analyses; and communicates recommendations to management regarding staffing, scheduling, service levels, and operational initiatives.

Build and maintain scalable data platforms, pipelines, observability metrics, metadata-driven solutions, data transformations, and third-party integrations. Collaborate with data scientists, analysts, DevOps teams, and business stakeholders to deliver timely, accurate data and meaningful insights. Responsibilities include optimizing transformations, implementing infrastructure as code, and administering or tuning Snowflake environments.

Own the go-to-market data infrastructure, integrating HubSpot, Dreamdata, advertising platforms, PostHog, and website data into BigQuery. Diagnose tracking and attribution discrepancies, configure multi-touch revenue attribution, and build executive dashboards covering channel performance and revenue. Develop ABM workflows using Clay, enrichment, behavioral signals, and AI personalization. Partner with sales and marketing to improve funnel visibility, campaign decisions, and outbound effectiveness.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.