Top Data & Analytics Jobs in Tampa Bay, FL

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

The Senior Technical Business Systems Analyst improves collaboration and productivity by leveraging tools like Microsoft 365 and AI, optimizing systems, and driving adoption across the organization.

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

This role involves managing enterprise data assets, aligning data strategies with business goals, and facilitating collaboration across teams to develop and optimize data capabilities.

The Market Analyst will analyze market data to inform growth strategies, synthesize insights for decision-making, and build analytical models to support performance across markets.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

Interns will work with core engineering teams to build and maintain data systems, participate in cross-functional teams, and collaborate on project goals under mentorship.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.