Top Analysis Reporting Jobs in Miami, FL

Build and operate production data pipelines, models, and data products supporting finance, accounting, treasury, compliance, and regulatory reporting. Partner cross-functionally to define requirements, model on-chain and internal data, and ensure data reliability through reconciliation, quality checks, monitoring, and alerting. Use SQL, Python, cloud data warehouse, Airflow, dbt, and AI tooling. Mentor engineers, review technical work, document systems, and communicate data concepts to technical and non-technical audiences.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

Build and maintain Databricks data pipelines using SparkSQL and PySpark; ingest, transform, model, and validate healthcare data from payer, provider, platform, and API sources. Support automated file exchanges, dashboards, downstream workflows, testing, governance, access controls, and audit logging. Participate in design and code reviews, use AI coding tools responsibly, and progressively own data engineering work while handling protected health information.

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.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

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

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.

Lead commercial data and analytics to enable sales effectiveness via CRM (Salesforce/Microsoft Dynamics); deliver behavioral insights, improve client relationship data integrity, develop measurement and data sources, partner with business and tech teams, and build and coach a high-performing team of business analysts.

Leads a team of business insights and analytics professionals supporting TD Premier strategic planning and performance improvement. Partners with executives and business stakeholders to translate complex data into actionable recommendations, roadmaps, forecasts, and growth opportunities. Oversees reporting, analytical initiatives, test-and-learn programs, risk monitoring, regulatory compliance, and resource planning while managing team performance and development.

Lead the architecture and evolution of large-scale data platforms, including ingestion, transformation, analytical data modeling, distributed processing, and customer-facing analytics. Optimize SQL, databases, Spark/Flink workflows, and asynchronous job systems for performance, scalability, reliability, and recovery. Establish reusable engineering standards, diagnose cross-layer bottlenecks, influence technical direction, partner with product and engineering teams, and mentor engineers while remaining hands-on.