Top Data & Analytics Jobs in Miami, FL

Design and develop software solutions for automated trading systems, collaborating with quantitative researchers to define project priorities and deliver customized solutions.

Lead and manage projects building modern data ecosystems and managed data services. Oversee strategic planning, mentor teams, ensure project delivery and quality, design data strategies, and convert analytics into business opportunities.

The Rebate Analyst supports accounting, financial tracking, and process improvements for the vendor rebate program, ensuring compliance and accuracy in reporting and analysis.

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

The Data Engineer conducts data analytics projects, implements data standards, and collaborates with stakeholders while ensuring data quality and integrity.

The GRC Business Analyst supports Synovus' Governance, Risk and Compliance program by analyzing business processes, translating requirements into solutions on the Archer platform, and ensuring compliance with policies and regulations.

The role involves maintaining, enhancing, and building applications for Credit Risk Review, ensuring accurate reporting, and data analysis from various systems.

Design and apply ontologies and semantic models to transform structured and unstructured data into actionable insights. Develop SPARQL queries, ontology-driven applications, and pipelines using Java, Python, and Bash. Collaborate with clients and lead teams on data exploration, NLP/text-mining, and machine-learning solutions.

Lead Databricks platform administration and enterprise data architecture for DoD-focused projects. Design, build, and maintain ETL pipelines and Delta Lake lakehouse solutions, optimize clusters, integrate Unity Catalog for governance, and implement DevSecOps/CI-CD practices. Guide cross-functional teams to deploy scalable cloud data platforms across AWS, Azure, and GCP.

Lead design and implementation of scalable data architectures and pipelines (real-time and batch), mentor junior engineers, ensure pipeline reliability and security, adopt new tools, collaborate cross-functionally, and implement data governance.

The Senior Data Engineer will design and maintain data architectures, work with operations teams, solve complex data challenges, and document decisions for stakeholders.