Top Remote Data & Analytics Jobs in San Antonio, TX

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.

The Data Engineering Lead will oversee the design and optimization of the data platform, manage a team of engineers, ensure data quality, and collaborate with cross-functional teams for technical specifications and project execution.

The Senior Cloud FinOps Analyst will manage FinOps services, build analytics dashboards, improve cloud cost governance, and enhance operational efficiencies in a multi-cloud environment.

The Data Product Manager will oversee the firmographic data foundation, improving data accuracy, structure, and analytics capabilities to enhance talent acquisition and analytics solutions for clients.

The Vice President of Account Services leads analytics strategy, provides data-driven insights to clients, oversees complex analyses, and develops KPI frameworks to improve nonprofit fundraising performance, while mentoring teams and collaborating across functions.

The Data Engineer I will manage data warehouses, extend data pipelines, write SQL and Python scripts, and support data operations.

As a Business Analyst II, you will act as an internal consultant to improve business processes, implement scalable solutions, and ensure data governance and reporting tools are effective for stakeholders.

The Financial Analyst will apply financial analysis and AI-driven insights to support a dental practice management software platform, focusing on subscription revenue, forecasting, and operational performance.

As the Director of Data, you will lead data engineering and analytics, develop strategies for data integration and use AI technology to drive business decisions, while managing a high-performing team.