Top Entry Level Data & Analytics Jobs in Tampa Bay, FL

As a member of the Capstone team, you will be tasked with developing and maintaining various client documents, drafting responses, organizing data rooms, and supporting outreach efforts. The position demands excellent communication skills and the ability to manage multiple projects in a fast-paced environment.

The Commissions Analyst is responsible for calculating and forecasting agent commission expenses, validating data, resolving inquiries, maintaining payment levels, and generating Excel reports to ensure accurate and timely commission payments to agents, marketers, and affiliates.

As a Data Scientist at Bond, you will design and maintain ETL processes for financial data, analyze key performance indicators to generate reports, and collaborate with cross-functional teams to drive data-driven decision-making and operational efficiency.

This role involves conducting large-scale surveys for the Department of Defense, analyzing quantitative data, and communicating findings to various audiences. Responsibilities include survey design, data cleaning, statistical analysis, and client collaboration to address research needs and deliver impactful insights.

The Quality Control Analyst I role involves partnering with manufacturing teams to ensure quality standards are met. Responsibilities include performing inspections, analyzing data, reporting metrics, driving process improvements, and supporting compliance efforts. The ideal candidate will have experience with CMM machines, basic computer skills, and the ability to communicate effectively in a team environment.

As a Research Scientist at Waabi, you will lead and contribute to AI research projects, focusing on developing algorithms for self-driving technology and their implementation in production systems. Your work will encompass problem-solving across various areas, including perception, motion forecasting, and generative modeling, while also ensuring code quality and publishing findings at top conferences.

The role involves labeling data and writing code to help improve AI models. Responsibilities include annotating datasets, analyzing AI-generated code, providing feedback for model training, and collaborating with AI professionals.