Top Data & Analytics 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.

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.

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 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 enterprise data governance strategy and operating model implementation, including ownership, stewardship, quality, metadata, classification, access policies, and regulatory alignment. Establish governance councils, define accountability, and drive adoption of cataloging, lineage, and data quality tools such as Collibra, Alation, and Microsoft Purview. Manage cross-functional workstreams, stakeholders, and delivery across regulated enterprise environments, with potential client travel of up to 80%.

Leads advanced Brand and Consumer analytics, integrating insights across marketing mix modeling, forecasting, commercial performance, and digital commerce. Develops data-driven narratives, translates complex analyses into actionable recommendations, and advises executives and stakeholders. Builds trusted client relationships across Marketing, IT, Sales, and Finance while using SQL, Python, statistical methods, and hypothesis-driven analysis to identify performance drivers and business opportunities.

Analyzes aviation fuel pricing, profitability, margins, customer activity, and revenue opportunities. Uses Tableau, SQL, and Snowflake to identify trends and anomalies, delivering recommendations to Sales and cross-functional partners. Supports workflow automation and AI enablement by documenting business rules, designing AI workflows, validating outputs, and contributing to responsible AI governance and decision-support tools.

Leads partnership valuation, sponsorship performance measurement, and digital and marketing analytics for a professional sports club. Develops valuation models, KPIs, dashboards, benchmarks, and actionable recommendations across digital platforms, campaigns, and fan engagement. Manages and mentors analysts while partnering cross-functionally with Partnerships, Digital, Marketing, and other teams to support commercial strategy, pricing, renewals, upselling, and audience growth.