Top Senior Data & Analytics Jobs in Miami, FL

Lead design and implementation of enterprise Product Information Management (PIM) solutions, drive product data strategy and integrations, improve data quality and processes, mentor team members, and support business development and client engagement to align product data practices with organizational goals.

Design and implement data architecture and scalable ETL/ELT pipelines on cloud platforms (AWS/Azure/GCP). Analyze complex problems, mentor junior staff, ensure data governance/security compliance, liaise with stakeholders, and deliver high-quality client solutions while developing technical and client-facing skills.

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.

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.

Lead enterprise analytics: produce standardized and ad-hoc reports, analyze claims/provider/member data, perform root-cause analyses, develop SQL/Postgres and Excel scripts, communicate insights to non-technical stakeholders, gather requirements, and support leadership in a fast-paced healthcare environment.

Design, build, and operate scalable cloud data pipelines and platforms (Azure preferred). Implement DevSecOps, CI/CD, automated testing, monitoring, performance tuning, and production readiness. Mentor engineers, drive operational excellence, and translate requirements into robust technical designs. Apply healthcare domain knowledge and collaborate in agile teams to deliver secure, reliable data products.

Lead design and delivery of scalable, secure cloud data pipelines and products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0/dimensional), embed data quality, observability, security, and DataOps/CI-CD practices, optimize performance and cost, mentor engineers, and enable AI/ML-ready datasets within an agile DevSecOps model.

The Business Analyst will support government projects by documenting requirements, creating process maps, and improving service delivery through collaboration and innovative content development.

The PostgreSQL Database Developer will migrate from Oracle to PostgreSQL, manage database systems, ensure performance, and document technical processes for data solutions.

The IT Subject Matter Expert will provide software expertise, analyze complex systems, define procedures, and recommend improvements. Responsible for developing documentation and supporting IT operations across departments.

The Senior Catastrophe Risk Modeling Analyst supports underwriting through catastrophe modeling and exposure management, primarily for Latin America, and collaborates with various teams to improve risk assessment and reporting.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Lead ontology lifecycle: gather requirements, design OWL/RDF schemas, validate with SHACL/ShEx, map relational data via R2RML/RML, build/maintain knowledge graphs, coach SMEs, and collaborate with data engineering and AI teams to deliver standards-compliant semantic models.