Top Senior Data & Analytics Jobs in Miami, FL

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

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 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.

The Sr. Analyst, Consumer Insights is responsible for providing marketing research support, analyzing data, and making recommendations based on insights. This role collaborates with various teams and executes research methodologies to inform business and marketing strategies.

Design, ingest, validate, and model complex financial and annuity data from external partners. Perform SQL-based ETL, data quality checks, root cause analysis, and collaborate with Accounting, Actuarial, and Technology to support reporting, valuations, and process automation.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

Lead design, build, and operationalization of a scalable enterprise data platform and pipelines (batch and streaming) to support analytics and AI. Drive architecture for lakehouse, ETL/ELT, CDC ingestion, observability, governance, and mentor engineers while collaborating with cloud, MDM, and product teams.

Lead the fraud data science team, developing machine learning models for fraud detection, conducting deep analyses, and collaborating with stakeholders to enhance the platform’s security.

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.