Top Remote Data & Analytics Jobs in San Antonio, TX

As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.

The Analytics & Insights Manager will support the growth of Phreesia's digital advertising business by managing campaign reporting, measurement, and recommendations for revenue optimization. The role requires strong analytics skills and the ability to communicate effectively with clients to translate data insights into strategic solutions.

The NOC Analyst is responsible for maintaining compliance of client environments through systems and network maintenance, monitoring alerts, documenting maintenance tasks, and escalating incidents when necessary. The role requires proactive management and reporting of operational effectiveness in IT services.

The Smartsheet Analyst will develop and implement Smartsheet solutions, collaborate with client teams on workflow analysis, support existing applications, train team members, optimize solutions, ensure compliance, and assess potential improvements in a remote part-time capacity.

The Compensation Analyst II will manage compensation processes including salary administration, bonus plans, and long-term incentive plans. Responsibilities include evaluating job positions, participating in compensation surveys, administering various compensation modules in Workday, and ensuring compliance with company policies. The role requires audit participation and collaboration with finance and HR teams to ensure accurate compensation implementation.

The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.

The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.