Top Remote Data & Analytics Jobs in San Antonio, TX

Lead end-to-end data acquisition, ingestion, curation, and storage for foundation models (3D, video, image, audio). Ensure legal compliance, negotiate vendor contracts, develop tooling and standards for searchable, indexed datasets, and align data strategy with research and product roadmaps while managing cross-functional teams and vendor relationships.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

As a Data Analyst at Blue Rose Research, you will design surveys, manage data collection, analyze data, and compile insights for political strategists, working closely with a diverse team and stakeholders to provide strategic guidance.

The role involves developing reports and insights for B2B analytics, managing data architecture, and collaborating across teams to enhance health engagement and outcomes.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

The Workday Finance Analyst supports financial operations, configures Workday Financials, enhances workflows, manages projects, and provides user support to ensure efficient finance processes.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.