Top Senior Data & Analytics Jobs in Miami, FL

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.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

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

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Develop and implement pricing strategies for cruise programs, perform market and competitor analysis, manage launch pricing, monitor post-launch performance, ensure pricing integrity and SOX compliance, and collaborate cross-functionally to optimize revenue and pricing processes.

Senior individual contributor and player‑coach leading Medicare Advantage analytics: build executive dashboards, drive financial and enrollment analytics, mentor analysts, modernize tooling, deliver executive‑ready insights, and represent the analytics team cross‑functionally.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Senior Data Strategist will lead data-driven projects, collaborate on measurement frameworks, develop audience profiles, and optimize client performance through insights.

Lead design, development, and maintenance of ETL/ELT workflows and data pipelines across cloud and on-premises environments. Integrate structured and unstructured enterprise data, ensure data quality, implement metadata management and lineage, build API integrations, support data governance, troubleshoot ingestion processes, and produce technical documentation and SOPs to enable enterprise analytics for operational and intelligence missions.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate with Airflow, ingest from third-party APIs, optimize columnar formats, support ML/AI workflows, and consult stakeholders to translate business goals into data architecture and infrastructure.