Top Remote Data & Analytics Jobs in San Antonio, TX

Designs, develops, tests, and maintains BI reports, dashboards, data models, data warehouses, and ETL processes using Microsoft BI tools. The role analyzes source data, resolves data integrity issues, supports stakeholders and end users, implements data protection solutions, and maintains documentation. This is a fully remote position with approved-location restrictions.

The role involves driving the identification of requirements, improving systems processes, developing prototypes, and ensuring usability in product development projects within an AI company.

Lead FranklinCovey’s research and measurement agenda, data product strategy, applied behavioral research, and thought leadership. Manage researchers, design rigorous studies, conduct statistical analyses, evaluate data fitness, develop benchmarks, and measure behavior change and business outcomes. Partner with Product, Technology, legal, sales, and marketing teams to translate research, AI, and analytical methods into data-driven products, personalized recommendations, and client insights. Ensure responsible data use, privacy, methodological rigor, and clear executive communication.

Leads complex data analysis and business intelligence initiatives supporting revenue forecasting, profitability, operational planning, and business performance. Builds analytical models, queries, dashboards, reports, and data workflows using SQL and Python. Resolves data-quality issues, improves processes, communicates actionable insights, and coordinates with business and technical teams. Mentors analysts, reviews analytical work, and provides technical guidance on data visualization and analytical methods.

The Data Engineer II supports customer workload onboarding through requirements gathering, query conversion, schema design, metadata analysis, data loading, workload testing, and performance analysis. The role collaborates with Solutions Architects and engineering teams to prepare pre-pilot workloads, create validation assets and technical documentation, assist with system sizing and timelines, and contribute to GDPR and data rolloff procedures.

Leads Global Fund for Children’s learning, evaluation, and impact function. Builds learning infrastructure, stewards outcomes frameworks and theories of change, guides mixed-methods research, and embeds participatory, trust-based learning practices across programs. Manages the Learning and Evaluation team, data governance, knowledge systems, and organizational reflection processes. Synthesizes evidence and stories for leadership, the Board, donors, and external audiences while protecting the dignity and safety of children, youth, and communities.

Build and maintain governed gold-layer data products, semantic models, standardized metrics, Power BI reports, and AI-enabled experiences. Design and deploy RAG solutions, AI agents, embeddings, and automated workflows using Microsoft Fabric and Azure AI Foundry. Apply security, governance, monitoring, testing, deployment, and documentation standards. Own technical delivery from design through production support, conduct proofs of concept, mentor peers, and enable adoption across plant and business teams.

Lead the design and implementation of a scalable contract data model, including migration strategies, data architecture, pipelines, warehouses, analytics layers, governance, security, and quality monitoring. Partner with Product, Engineering, Data Science, ML, Professional Services, and customer-facing teams. Drive architecture decisions, provide technical mentorship, lead reviews, and manage multi-quarter data initiatives for a SaaS platform.

Leads enterprise data architecture and phased Microsoft Fabric implementation. Defines data models, integration patterns, governance standards, lineage, metadata, security, semantic layers, and scalable platform architecture. Partners with data engineering, IT, governance teams, business owners, analysts, and technology leaders to translate business requirements into sustainable technical solutions and support analytics, reporting, self-service, and AI enablement.

Leads the architecture, development, and production operation of complex data pipelines and platforms. Resolves scalability, data quality, reliability, and architectural challenges; evaluates data technologies; mentors engineers; establishes engineering standards; partners with product, analytics, and operations teams; communicates technical trade-offs; and conducts proofs of concept to guide platform strategy.