Top Data & Analytics Jobs in San Antonio, TX

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Supports operations performance management through complex data analysis, KPI and reporting validation, dashboard and scorecard development, project execution, and stakeholder communication. The role uses SQL, Tableau, Python, Alteryx, automation, and approved AI/LLM tools to improve reporting accuracy, data quality, decision-making, and operational outcomes across collections and related banking functions.

Leads business intelligence teams supporting Microsoft’s global datacenter supply chain. Responsibilities include data analysis, reporting, governance, executive storytelling, analytics automation, evaluation, and cross-functional collaboration. The role develops scalable self-service insights, improves data quality, partners with Engineering and Data Science teams, coaches employees, and presents actionable recommendations to senior stakeholders.

Analyzes complex property and casualty insurance data to optimize underwriting strategies, risk precision, risk mitigation, and risk acceptability. Applies statistical and quantitative techniques, exploratory data analysis, visualization, and modeling to develop actionable recommendations. Collaborates with cross-functional teams, documents methodology and validation, communicates insights to technical and non-technical audiences, and supports compliant business decision-making.

Drives information and data governance across USAA Federal Savings Bank domains. Responsibilities include policy adoption, stewardship forums, governance reporting, sensitive-data oversight, data quality management, risk monitoring, workflow documentation, and stakeholder collaboration. The role supports governance frameworks, tools, controls, regulatory reporting, and continuous process improvements across business areas.

Designs, develops, and optimizes scalable data pipelines, architectures, and cloud-based data solutions using Azure services and Databricks. Translates business requirements into reliable data systems, supports data security, privacy, quality, and governance, and provides technical expertise during incidents. The role oversees testing, drives continuous improvement and engineering standards, participates in infrastructure planning, and mentors less experienced data engineers.

Designs, develops, and administers enterprise business intelligence, data warehousing, reporting, and AI-enabled analytics solutions. Builds SQL databases, ETL pipelines, dimensional and semantic models, Power BI dashboards, KPI frameworks, and forecasting tools. Analyzes contact center, workforce, financial, and customer experience metrics to generate actionable insights. Partners with operational, technical, executive, and vendor stakeholders while modernizing reporting through automation, Microsoft Fabric, Copilot, generative AI, and natural-language analytics.

The Analytics Business Partner works directly with leaders to diagnose business performance, define and govern metrics, build end-to-end analytics, and translate findings into decisions. Responsibilities include owning the analytics roadmap, validating data, improving data quality across ERP, HR, and CRM systems, partnering on dbt models, running leadership reporting, and training users. The role requires strong SQL, Tableau, AI-tool experience, consultative communication, and the ability to work with multiple data sources. It is fully remote in the U.S. with up to 20% travel.

Supports healthcare, clinical, operational, and research data analysis through statistical analysis, data quality assessment, trend analysis, dashboards, visualizations, technical reports, datasets, and analytical products. Requires a quantitative bachelor's degree, at least three years of relevant analytical experience, CAC eligibility, and ability to meet a Tier 1 investigation requirement. Trauma registry or Department of Defense healthcare data experience is preferred.

Leads fraud analytics, modeling, reporting, and strategy development for credit card and retail banking businesses. Identifies fraud trends, manages fraud rules and detection strategies, designs mitigation approaches, analyzes process gaps, and partners cross-functionally to execute priorities. Mentors junior team members and may manage staff while communicating analytical insights and recommendations to stakeholders.

Develop and manage Power BI reports, dashboards, and KPI scorecards. Gather requirements, translate business needs into technical reporting solutions, write T-SQL and DAX queries, maintain SSRS reports, document report logic, validate data quality, and support dashboard performance. Collaborate with business and IT teams to integrate systems and deliver reliable analytics solutions.