Top Remote Data & Analytics Jobs in Miami, FL

Leads healthcare quality analytics using hospital performance, national rankings, Medicare claims, and CMS data. Replicates quality methodologies, identifies improvement opportunities, builds dashboards and benchmarking tools, and establishes analytic validation standards. Presents insights to executives and customers, supports pre-sales and engagements, partners with data scientists and consultants, and mentors analysts.

Owns enterprise data architecture for Raytheon’s SAP ECC-to-S/4HANA transformation. Designs canonical data models, integration patterns, bridge reporting, semantic layers, and cross-system analytics for finance, supply chain, and other domains. Guides SAP Analytics Cloud, Snowflake, Business Data Cloud, and BODS solutions; establishes governance, standards, lineage, and observability. Creates TOGAF-aligned architecture artifacts, reviews delivery solutions, and coaches technical teams throughout the migration lifecycle.

Designs, develops, tests, and executes SQL-based data migrations and integrations for higher education Advancement systems. Builds data pipelines, staging tables, transformation logic, stored procedures, validation processes, and database-driven integrations connecting legacy platforms, institutional databases, and Salesforce. Configures Salesforce, troubleshoots data and performance issues, supports migration testing and deployments, and collaborates with architects, consultants, and client stakeholders. Periodic travel and client relationship development are required.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

Analyze marketing performance and ROI across markets, identify expansion opportunities, evaluate market saturation and competition, and support investment decisions. The role requires advanced SQL, funnel analysis, dashboard development, multi-source data integration, statistical reasoning, and clear communication of recommendations to marketing and leadership. The analyst will also use AI tools such as Claude and partner with data engineering to improve data quality and decision support.

Own client marketing analytics and decision support, using SQL, experimentation, CRM, email, SMS, NPS, and dashboards to improve client engagement and retention. Analyze lifecycle performance, evaluate communication and review-generation strategies, identify disengagement risks, and translate findings into recommendations for marketing stakeholders. Partner with data engineering to improve data quality and use AI tools to accelerate analysis.

Supports NOAA Fisheries data integration through source-to-target mapping, data quality analysis, interoperability testing, compliance validation, metadata documentation, requirements analysis, dashboard specifications, and operational documentation. The role bridges data engineering and regulatory compliance for a federal environmental data integration program.

Build and optimize business intelligence dashboards, reports, data models, visualizations, and calculations using tools such as Power BI, Grafana, Tableau, and DAX. Develop data ingestion pipelines, support governance and access controls, analyze diverse datasets, and deliver tailored analytics solutions. Collaborate with customers, consultants, architects, engineers, and data scientists using a consultative approach across multiple industries.

Design, build, and deploy production-grade data pipelines, analytics platforms, and Generative AI applications on Databricks. Lead enterprise migrations from legacy data platforms, architect cloud-native solutions, implement RAG and ML pipelines, and advise executive client stakeholders. Drive Databricks adoption and account growth by identifying new use cases, while mentoring engineers and contributing reusable delivery accelerators.

Build scalable Databricks Lakehouse architectures and ETL/ELT pipelines using Spark and Delta Lake across AWS, Azure, and GCP. Tune performance and cloud costs, integrate MLflow for AI model deployment, and implement CI/CD and Infrastructure-as-Code with Terraform or Databricks CLI. The role also enforces governance and security through Unity Catalog, supports regulatory compliance, and collaborates with clients, data scientists, architects, and engineering teams to deliver production-ready AI solutions.