Top Remote Senior Level Data & Analytics Jobs in San Antonio, TX

The Data Enablement Analyst leads the development of Data Enablement strategies, partners with stakeholders to enhance data literacy, and coordinates data governance initiatives within GM Insurance.

Seeking a Senior Data Scientist to analyze user behavior, collaborate with teams, develop metrics, and drive analytical priorities in a two-sided marketplace.

As Director of Data Engineering, you will lead teams to deliver data solutions on Databricks, overseeing data architecture, pipeline development, and AI integration while ensuring accountability and continuous improvement.

The Senior Analyst will ensure ERP systems maintain compliance, execute validation and testing activities, and support various business processes, primarily Oracle EBS. Responsibilities include validation planning, risk assessments, and collaboration with stakeholders.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.

The Senior Manager, Risk Analytics & Decision Science will shape credit strategies, improve decisioning frameworks, and optimize model performance to enhance approval, pricing, and portfolio outcomes.

The Senior Technical Business Systems Analyst improves collaboration and productivity by leveraging tools like Microsoft 365 and AI, optimizing systems, and driving adoption across the organization.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

This role involves managing enterprise data assets, aligning data strategies with business goals, and facilitating collaboration across teams to develop and optimize data capabilities.