Top Analysis Reporting Jobs in Miami, FL

Leads a data engineering team and sets the strategic direction for scalable, secure data initiatives. Oversees project planning, resource allocation, engineering standards, documentation, technical debt, and complex issue resolution. Partners with business leaders, data scientists, and IT teams to translate organizational needs into technical solutions. Requires expertise in AWS, cloud data platforms, data modeling, governance, orchestration, real-time processing, programming, and enterprise data management.

Develops and maintains secure data pipelines, ETL/ELT workflows, data transformations, and analytics-ready datasets. Processes structured and unstructured data using platforms such as Databricks, Spark, Palantir Foundry, and Maven Smart Systems. Collaborates with data scientists, engineers, and mission stakeholders while applying data validation, modeling, quality, testing, documentation, and Agile practices. The role requires onsite work in a SCIF and support for classified national security missions.

The Data Analyst will organize, validate, transform, and reconcile data from multiple healthcare practice management systems. Responsibilities include writing SQL and Python scripts, supporting a centralized data warehouse, building BI dashboards, validating data quality, analyzing business trends, documenting data processes, and partnering with Finance, Operations, Marketing, and leadership to deliver actionable insights.

Support digital tools, technology initiatives, project workflows, data management, visualization, and technology-enabled solutions. Collaborate with technical professionals to improve engineering and design team workflows, apply classroom knowledge to real-world challenges, and participate in professional development and networking activities.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Leads the organization’s data strategy, analytics, and measurement capabilities. Advises enterprise clients on attribution, incrementality, marketing mix modeling, customer acquisition, and lifetime value. Develops measurement frameworks, dashboards, reporting products, and analytics tools while partnering with strategy, sales, client services, and AI teams. Builds internal data literacy, coaches talent, supports commercial growth, and represents the company as an external thought leader in partnership marketing measurement.

Analyzes aviation business data, develops reports and dashboards, identifies operational trends, supports business cases and ROI analyses, and provides insights for process improvement. The role gathers requirements, supports system implementations and user acceptance testing, collaborates with IT and vendors, monitors sales, repairs, inventory, and operations data, and communicates recommendations to stakeholders. This is an onsite position supporting GA Telesis’s Maintenance, Repair & Overhaul division.

Build and operate production data pipelines and services integrating APIs, SFTP, files, databases, and cloud systems. Orchestrate workflows with Airflow and Google Cloud Composer, model data in BigQuery and Snowflake, support cloud infrastructure, and implement monitoring, data quality, security, governance, and production support practices. The role also involves incident resolution, documentation, testing, CI/CD, and collaboration with stakeholders and external providers.

Design and implement continuous enterprise risk-control monitoring across credit, fraud, operational, and compliance domains. Develop AI agents, anomaly detection, root-cause analysis, predictive models, and risk-mitigation tools. Maintain AI and model-risk inventories, build dashboards tracking key risk indicators, and communicate analytical insights to senior stakeholders. Collaborate with Engineering, Data, Compliance, Operations, Identity, and Product teams to instrument risk telemetry and maintain human oversight of automated outputs.

Implement metadata governance frameworks for structured and unstructured data in cloud environments. Track data lineage and synchronize metadata across data catalogs, ESRI Kubernetes, and enterprise repositories. Use OpenLineage, Apache Atlas, and related tools to manage metadata and lineage. Enforce DoD metadata policies and NSG standards for geospatial datasets while advising clients and guiding data science teams.