Top Remote Data & Analytics Jobs in San Antonio, TX

The Director, Global Advisory will act as a domain expert advising clients on fraud solutions, engaging with senior stakeholders, and driving product innovation.

As a Sr Credit Risk Analyst, you'll analyze complex datasets to provide insights on credit risk, ensure regulatory compliance, and lead reporting initiatives while mentoring junior team members.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.

Intern will work with business and technology teams to create dashboards, SQL queries, ETL processes, and enhance BI capabilities.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

The Associate Director, Biostatistics supports clinical development programs, ensuring the quality and timeliness of statistical deliverables and collaborating with various teams for effective study designs and data analysis.

The Sr. Data Analyst Sales provides strategic insights to enhance sales operations and reporting. Responsibilities include data analysis, visualization in Tableau, and stakeholder management to drive business decisions.

The PCM Analyst II will perform cost modeling, analyze costs, and report on financial metrics while collaborating with various teams to improve cost management processes and insights.

The HR Technology BI Developer designs and develops HR analytics platforms to enhance decision-making and improve workforce planning through robust data solutions.

The Data Governance Lead will define and implement data governance frameworks, establish data ownership models, and optimize processes for managing data as a product while ensuring compliance and data quality.