Top Analysis Reporting Jobs in Miami, FL

Build and maintain Databricks data pipelines using SparkSQL and PySpark; ingest, transform, model, and validate data from payer, provider, claims, platform, and API sources. Support automated file exchanges, dashboards, testing, data governance, access controls, and audit logging. Use AI coding agents responsibly, participate in design and code reviews, document technical decisions, and collaborate with business teams. The role is based in Miami and targets candidates graduating between December 2026 and June 2027.

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Develop and improve mathematical models and trading approaches. Conduct statistical analysis and back test trading strategies in a fast-paced environment.

Conduct quantitative research for automated trading strategies by developing mathematical models, translating algorithms into code, backtesting trading signals, analyzing unconventional data, and refining monetization systems. Collaborate with senior researchers during an 11-week post-doctoral internship while applying advanced probability, statistics, machine learning, and time-series techniques to financial markets.

Designs and maintains dashboards, reports, semantic views, data models, pipelines, and analytical workflows supporting Finance and Accounting. Partners with stakeholders to define metrics, build trusted BI solutions, investigate data issues, automate workflows, and deliver recurring and ad hoc insights. Requires strong SQL, Tableau or similar BI experience, Python, data validation, pipeline support, and effective communication with technical teams and executives.

Design and scale lakehouse architecture, streaming and batch pipelines, and reliable data platforms using Kafka, Spark, Airflow, Iceberg, Databricks, and related technologies. Build Medallion-layer data systems, manage open table formats, optimize distributed queries, monitor platform reliability, resolve data quality issues, and collaborate with analysts, data scientists, and product teams.

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.

Designs and develops scalable cloud-based data platforms and architectures for consulting clients. Translates business objectives into technical solutions, leads client initiatives, applies data modeling and governance practices, and supports data warehousing, business intelligence, master data, and reference data management. The role uses Azure or AWS, mentors data professionals, collaborates with stakeholders and vendors, and travels approximately 30–50% of the time.

Conducts healthcare market research and analyzes brand, marketplace, demographic, volume, market share, payer mix, patient transfer, marketing, contact center, web, and financial data. Develops reporting, data extracts, and actionable insights for Houston Methodist leadership and marketing teams. Monitors database integrity, evaluates marketing performance, supports segmented mailings, researches healthcare market trends and competition, and presents findings to internal stakeholders.

Manages information governance, risk, and compliance initiatives focused on attorney and client onboarding, offboarding, client transfers, legal holds, and electronically stored information. Coordinates data identification, collection, classification, transfer, metadata accuracy, repository tracking, security controls, and workspace access. Supports attorneys and business teams, resolves policy inquiries, develops compliance procedures and educational materials, and contributes to technology workflows, integrations, analytics, and internal controls.