Top Remote Analytics Jobs in Baton Rouge, LA

The Deal Desk Analyst supports the global Sales team by structuring optimized deals, providing insights on processes and policies, and managing complex transactions. Responsibilities include collaborating with sales leadership, advising on negotiation techniques, ensuring compliance, and analyzing deal structuring trends.

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.

This role involves analyzing business performance through audience, product, and growth insights while delivering actionable recommendations. The analyst will collaborate with data engineering to build a centralized reporting framework, democratize data using dashboards, and lead analytic projects, contributing to a more efficient data environment across the organization.

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.

Microblink seeks innovative individuals to join their team. They value diverse experiences and encourage applicants from various backgrounds, whether from academic, private, or professional projects. The goal is to bridge gaps between people and technology, inviting creative solutions.

As an AI Insight Analyst, you will analyze search result performance, provide insights on relevance, evaluate search effectiveness, and conduct quality assurance to enhance search engine algorithms and improve user experience.

The Data Quality Specialist ensures the accuracy and integrity of data within internal systems by monitoring exception reports, resolving discrepancies, recommending process improvements, and collaborating with various internal teams. They maintain documentation and utilize data quality tools to enhance data management practices.