Top Analysis Reporting Jobs in Miami, FL

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Analyze complex datasets, build predictive models, and communicate findings to stakeholders while collaborating with data engineers and quantitative researchers.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

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.

Lead Oracle Cloud transformation projects, advising clients on financial processes, managing teams, and implementing tax solutions while understanding Oracle methodologies.

The Regulatory Reporting Associate manages regulatory reporting processes and projects, ensures compliance with standards, and collaborates across teams, providing expertise in capital reporting and accounting practices.

The Performance Management Operations Analyst manages the KPI Program, ensuring data integrity and providing insights for leadership decisions through performance reporting. This role collaborates with stakeholders to operationalize performance measurement and enhance reporting tools like dashboards.

The Senior Business Process Operations Analyst will optimize Accounts Receivable processes, support teams, analyze data, and implement improvements across financial 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.

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