Top Senior Data & Analytics Jobs in Miami, FL

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Manages programmatic analytics and insights for client accounts, leading measurement frameworks, brand lift studies, incrementality testing, and A/B experiments. Develops media and campaign strategies, communicates performance insights to clients, and supports pitches and QBRs. Oversees, mentors, and develops analysts while partnering with Product, Engineering, Sales, and Customer Success teams to improve measurement tools, campaign optimization, and analytical capabilities.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.

Designs, builds, and maintains scalable batch and streaming data pipelines across AWS and GCP. Develops ETL/ELT workflows using Python, PySpark, and advanced SQL; optimizes performance, storage, and query execution; implements data quality and governance controls; and supports data lakes, warehouses, and ML workflows. Collaborates with data scientists and ML engineers on MLOps automation and production deployments while maintaining CI/CD, Docker, infrastructure standards, and technical documentation.

Leads enterprise data architecture, SQL Server administration, data warehouse design, ETL/ELT pipelines, Azure data platforms, data governance, master data management, and business intelligence strategy. Partners with business and IT stakeholders to deliver scalable analytics solutions across financial, HR, CRM, operational, and practice management systems. Provides technical leadership, vendor coordination, architecture documentation, and mentorship.

Leads healthcare data analysis, reporting, dashboard development, forecasting, and data-quality processes. Analyzes claims, utilization, cost, pharmacy, and financial data to identify trends and support cost-containment and business decisions. Develops SQL database objects, translates stakeholder requirements, supports regulatory reporting, improves analytics workflows, and manages projects. Provides mentoring, peer review, documentation, and cross-functional guidance.

Leads sponsored programs and research data operations, including grant and funding reporting, data governance, quality assurance, dashboards, process improvement, compliance, and stakeholder coordination. Oversees membership, publication, and funding data supporting cancer center reporting, proposals, renewals, and strategic planning. Supervises and develops staff, establishes controls and procedures, manages data projects, and partners with research, finance, informatics, compliance, and executive stakeholders.

Analyzes South Florida commercial real estate, economic, demographic, supply, and demand trends. Produces market reports, research content, presentations, and client insights; maintains data quality and tenant information; supports brokers, investors, marketing, sales enablement, and business development through research-driven market analysis.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.