Top Senior Data & Analytics Jobs in Miami, FL

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.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

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.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

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 the marketing analytics function, owning attribution, media mix modeling, incrementality testing, predictive lead-value modeling, full-funnel measurement, and marketing data infrastructure. Set the analytics roadmap, guide data science and engineering teams, establish campaign and data governance, connect marketing performance to downstream profitability, and advise executives on budget and growth decisions. The role also involves building the team, reviewing analytical methodologies, and applying modern AI and LLM tooling.

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.

Administer, maintain, develop, and improve FDOT District Four’s enterprise GIS systems, applications, databases, and geospatial workflows. The role performs GIS analysis, spatial data management, automation, application development, troubleshooting, documentation, and user support using Esri platforms, SQL, and Python. It also involves requirements gathering, stakeholder collaboration, project coordination, technical guidance, and independently managing GIS assignments in an onsite public-sector environment.

Build and scale analytical data products, models, semantic layers, and reusable metrics using dbt and Databricks. Develop Gold-layer and dimensional models, support Tableau analytics, automate data workflows with Python and SQL, and implement testing, documentation, lineage, Git, CI/CD, and deployment practices. Provide technical leadership, architecture guidance, mentorship, code reviews, performance optimization, and production support while partnering with business, product, analytics, and engineering teams.

Analyze SKU counts, item-level profitability, design productivity, and pricing across toy products. Build SQL queries and Sigma dashboards, identify margin risks and SKU rationalization opportunities, support new item planning, and communicate actionable insights to nontechnical Brand Operations and marketing stakeholders.