Top Remote Data & Analytics Jobs in San Antonio, TX

The Senior Manager, Business Analysis will lead business insights, improve workflows, and drive finance performance reporting at Autodesk. The role involves collaborating with finance teams, managing data integrity, and developing agile dashboards and data products to enhance business metrics and reporting processes.

As a Staff Data Scientist, you will develop AI-driven solutions, evaluate AI models, and collaborate across teams to enhance veterinary diagnostics. You will leverage your expertise in NLP and machine learning to design and implement innovative algorithms and streamline clinical workflows, contributing to new products and services.

The intern will assist Sabre's Enterprise Risk Management team in monitoring and improving the ERM program, conducting research and analytics, creating reports, developing dashboards for key risk indicators, and engaging in risk assessment activities. This role provides a collaborative environment with visibility to executive leadership and an opportunity to impact the company's strategic priorities.

The Senior Data Engineer at Mattress Firm will improve data reliability and quality, analyze and organize raw data, develop datasets, interpret trends, and prepare data for modeling. The role involves building algorithms, enhancing data quality, identifying data acquisition opportunities, and developing analytical tools while ensuring compliance with safety and company policies.

As the Marketing Analytics Manager, you will oversee reporting systems, develop data insights, and drive strategic decision-making through data analysis. Responsibilities include leading a team, managing cross-functional collaboration, and ensuring data quality while providing clear communication of insights to senior leadership.

The Senior Data Analyst will conduct detailed data analysis to support decision-making, establish metrics, engage with stakeholders, manage analytical projects, and mentor teammates while focusing on cross-departmental collaboration to drive insights and improvements.

The LLM Data Engineer will design, implement, and maintain data pipelines for Generative AI platforms, focusing on LLM and RAG technologies. Responsibilities include integrating data sources, optimizing workflows, benchmarking vector stores, and ensuring data quality across AI applications.