Top Senior Analysis Reporting Jobs in Miami, FL

The role involves advanced analytics to drive product strategy, deep statistical analysis to uncover user behavior insights, A/B testing, building data pipelines, and presenting findings to leadership.

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.

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

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

The Sr. Pricing Manager will analyze pricing strategies, lead automation initiatives, collaborate cross-functionally, and design pricing tests to enhance value for Chewy's Pricing Team.

The Director of Analytics & Insights will lead client communications, analyze campaign performance, provide actionable insights, and develop measurement tools to optimize marketing strategies.

The Senior Data Analyst is responsible for data-driven forecasting and advanced analytical techniques to drive business outcomes, collaborating with teams and mentoring junior analysts.

The Manager of Business Intelligence leads BI initiatives, manages a team of analysts, oversees project delivery, ensures data quality, and drives data-driven decision making across the organization.

The Senior Data Engineer will oversee data operations, design scalable data pipelines, ensure data quality, and support cross-functional data initiatives.

The Director of Data Analytics and Reporting will drive the data analytics roadmap, manage projects, provide insights, ensure data quality, and promote data-driven decision-making across the organization.

Manage and lead a team of data engineers, oversee data pipeline development, ensure data quality, and support analytics initiatives in financial services.

The Data Quality Engineer will design and implement data quality frameworks, manage tools for data profiling, enforce quality rules, and automate processes using AI in order to ensure data integrity across platforms.

The Data Integration Engineer will focus on data analysis, ETL development, system integrations, and ongoing migration support for a large-scale enterprise application in a government agency.