Top Analytics Jobs in San Antonio, TX

Manage product offerings for public sector clients by translating their challenges into AI-powered solutions. Collaborate with stakeholders and drive the product lifecycle from ideation to launch.

The Data Analyst will transform data into actionable insights, partner with product teams, design dashboards, and measure product impact through analytics.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

Develop marketing analytics campaign performance, enhance reporting capabilities, optimize marketing strategies, and collaborate with cross-functional teams to drive data-driven decisions.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

The Software Engineer will design and maintain systems for trading analytics, develop low-latency integrations, evaluate trades for optimization, and automate reporting for operational efficiency.

The Senior Software Engineer will architect and develop data assets, implement data pipelines, and ensure data quality while mentoring team members and adhering to data regulations.

The Analytics Lead will design data infrastructure, provide business intelligence, build financial analytics models, and lead a team to drive growth insights.

The Analytics Engineer will architect and maintain Rollstack's data stack, build data pipelines, normalize data, and support analytics for product and GTM teams.

The Product Manager will lead the development of store-level analytics products, collaborate with teams, and engage clients to refine features.

The Analytics Engineer will lead analytics initiatives for live events at Netflix, where they’ll define metrics, build reporting tools, and drive strategic insights to improve viewer engagement and monetization.

The Senior Quantitative Analytics Associate leverages statistical and mathematical techniques to validate models and provide predictive analysis for business needs, mentoring junior staff and delivering insights based on data analysis.

Lead analytics for OnePay's Lending product, working cross-functionally to develop data-driven strategies, foster growth, and manage a team of analysts.

Design and build the semantic data layer for analytics, transform raw data into trusted models, and ensure they reflect healthcare operations.

The Director of Analytics will lead the analytics function, driving business optimization, developing data assets, creating dashboards, and managing a team of analysts.

The Sr Data Engineer will design and maintain data pipelines, optimize data processes, and support analytics in GCP, enhancing healthcare data insights.

The Revenue Operations Data & Analytics Manager will develop a data analytics program supporting revenue operations, collaborating across teams to deliver insights and improve business performance.

Lead a team managing financial systems analytics, overseeing data integration, ensuring compliance, and optimizing financial reporting processes while collaborating across departments.

The Oracle DBA will manage and optimize Oracle databases, lead migration to Azure, and implement DevOps practices for automation and efficiency.

As a Lead Workday Financials Reporting & Analytics Consultant, you will guide customers in enhancing their Workday systems through reporting and analytics while mentoring junior team members.

Lead marketing operations and analytics, focusing on data-driven strategies, budget analysis, and optimizing marketing technology for growth. Manage complex data analysis and reporting to inform decision-making.

The Analytics Engineer will enhance Freshpaint's data platform, ensuring reliable and actionable insights across teams to facilitate data-driven decisions and product growth.

As a Data Analytics Engineer at dv01, you'll manage data pipelines, write production-ready code, and collaborate with analysts and clients, leveraging modern technologies to optimize data for the financial market.

The role involves driving analytically driven sales strategies by connecting technical and commercial teams, delivering training, and synthesizing data insights to enhance sales effectiveness.