Top Analytics Jobs in Tampa Bay, FL

The GTM Analytics Manager will analyze revenue data, develop performance metrics, and support revenue operations by providing insights for decision-making.

The Senior Advisory Reporting & Analytics Consultant will implement Workday solutions, providing configuration and testing expertise for clients while ensuring successful deployments.

The Senior Director will lead revenue strategy, planning, and analytics, overseeing core revenue planning, cross-functional analytics, and deal execution while managing a high-impact team and collaborating with various departments.

As an Analytics Engineer, you will enhance the data stack, create self-serve analytics, integrate sources into BigQuery, and develop dashboards with strategic insights.

Develop and support tools, automation, analytics, and live ops for games, emphasizing collaboration and best practices within teams.

The Staff, Advanced Analytics role involves driving data-driven decisions through analysis, statistical modeling, and metrics development to improve the customer journey at Airbnb.

Manage and mentor a team of analysts and data scientists, develop analytics strategies, own analytics projects, and promote data-driven culture.

As a Senior Data Scientist, you will collaborate across teams to enhance data science, analyze models, and improve product features to aid student writing.

Lead the analytics strategy and execution, manage a high-performing team, and drive insights for decision-making across the company.

The internship focuses on operational analytics within DIRECTV FOR BUSINESS, involving projects in KPI analytics, financial analysis, and customer segmentation.

The Senior Data Scientist will own user acquisition analytics, identify growth opportunities, define success metrics, and foster a data-informed culture.

The Manager of Analytics Engineering will lead a team to build and optimize data infrastructure, overseeing data pipelines and collaborating with cross-functional teams to support data monetization efforts.

As an Analytics Engineer, you will lead the design and optimization of scalable data pipelines and models, ensuring the monetization of data. You'll also mentor team members and collaborate on data strategy with cross-functional teams.

The Data Analytics & Visualization Specialist will create Power BI dashboards, perform predictive analytics, and streamline reporting for Talent Acquisition. Responsibilities include delivering data-driven insights and storytelling to aid decision-making.

The Senior Analyst will deliver data-driven analyses and reports, support customer interactions using Tableau, develop SQL queries, and mentor junior analysts.

The Data Analytics Senior Consultant will analyze data, develop reports, collaborate with stakeholders, and provide actionable insights to support strategic initiatives.

The Tech Lead, AI will build and manage a cross-functional team developing AI-powered products, ensuring quality, team culture, and effective project communication.

The Account Manager will manage enterprise client relationships, develop marketing strategies using analytics and AI, and drive business growth.

The Supervisor leads analytics for key clients, manages a team, translates data into insights, and shapes measurement strategies to showcase clients' media impact, requiring strong experience in marketing analytics.

The Detection Engineer will enhance OT security by cataloging assets, developing detection logic, troubleshooting configurations, and conducting research on PCAPs in collaboration with engineering teams.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

Analytics Engineers at Velir model and transform data to provide actionable insights, collaborating with teams to ensure timely delivery of tasks.

Lead a data analytics team to provide insights for product strategy, improve analytics capabilities, and foster a data-driven culture.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

Lead the development of analytics solutions, evaluate marketing performance, manage analytics teams, and optimize media investments for clients.