Top Analysis Reporting Jobs in Miami, FL

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.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

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

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

Lead pricing programs by analyzing large transactional datasets, designing and measuring pricing tests, partnering with engineering and data science to build automation, and translating insights into scalable pricing processes that improve price perception, margins, and customer trust.

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.

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.

The Data Engineer role supports Sedgwick’s data engineering initiatives. The provided description contains limited role-specific information and does not detail responsibilities, required technologies, qualifications, travel, or clearance requirements.

Lead enterprise marketing measurement strategy, govern data collection and BI tooling, ensure HIPAA-compliant analytics, build dashboards and attribution models, enable analytics literacy, manage vendors, and deliver decision-ready insights to senior leadership across university units.

Coordinates data processing and purchasing-related requests for utility programs. Reconciles information across internal and external systems, investigates discrepancies, maintains accurate records, performs data entry, coordinates field documentation, and creates operational and client-facing reports. Communicates with utility clients, field supervisors, and project teams while identifying process improvements that enhance efficiency, data quality, and customer satisfaction.

Coordinates data processing and purchasing-related requests for utility program operations. Reconciles information across systems, investigates and resolves discrepancies, maintains accurate records, coordinates field documentation, performs data entry, and creates operational and client-facing reports. The role communicates with utility clients, field supervisors, and project teams while identifying process improvements that enhance data quality, efficiency, and customer satisfaction.