Top Data & Analytics Jobs in San Antonio, TX

The role involves supporting accounting functions, analyzing unposted client items, balancing reports, ensuring data accuracy, and effective communication with management.

The Technical Business Analyst will conduct stakeholder interviews, analyze business processes, support system implementations, and oversee quality control in the absence of the QCM.

The Quantitative Analyst I supports risk management through data analysis, forecasting Net Interest Income, and modeling balance sheet activities using advanced financial modeling tools.

The Associate Campaign Insights Analyst role involves analyzing campaign performance, creating executive summaries, visualizing data in Tableau, and collaborating with account executives to communicate business outcomes effectively.

Analyze operational and financial trends for auto bodily injury claims. Collaborate with various teams to create actionable insights and narratives that influence business decisions.

Contract Decision Scientist to lead analytics for a multi-state restaurant chain: mentor team members, prepare and clean large datasets (cloud and on-prem), build and operationalize statistical and predictive models, produce visualizations/reports, and translate insights for stakeholders while ensuring privacy-compliant data handling.

The Business Analyst will manage requirements documentation, assess needs, plan tasks, and oversee collaboration for P&C insurance projects. Familiarity with PMO documentation and business application integration is essential.

The Data Analyst will build data pipelines, analyze complex datasets, and provide insights to support decision-making across multiple stakeholders in GFiber.

The Senior Solutions Analyst is responsible for the implementation, development, and continuous improvement of Salesforce initiatives, ensuring effective platform design and adoption across Sales, Operations, Finance, Marketing, and IT.

The Data Integration Engineer will design and build scalable data pipelines and manage data warehouses, integrating various data sources and ensuring data quality and operational reporting.