Top Remote Data & Analytics Jobs in San Antonio, TX

The Staff Data Scientist will enhance Pinterest's Curation by developing models and frameworks to understand and improve recommendation systems, influencing product strategy and mentoring junior scientists.

The Workday Finance Analyst supports financial operations, configures Workday Financials, enhances workflows, manages projects, and provides user support to ensure efficient finance processes.

As a Senior Geospatial Machine Learning Engineer, you will develop and improve algorithms for vegetation analysis, enhance existing products, and lead projects impacting wildfire risk management.

The Head of Biostatistics and Statistical Programming oversees statistical aspects of clinical trials, ensuring integrity and strategic planning in drug development. Responsibilities include leading teams, guiding analysis, mentoring, and collaborating across departments.

The Senior Client Solutions Analyst leads the implementation of customized financial allocation solutions, collaborates with clients, and ensures accurate reporting processes in supply chain operations.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

As a Principal Business Intelligence Analyst, you'll design and maintain scalable data pipelines, implement data models, and ensure data quality while mentoring junior engineers and collaborating with stakeholders.

Lead the data engineering and analytics team, overseeing data processing for utility bills, building data strategies, and ensuring data quality while promoting evidence-based decision-making across the organization.

Analyze payment funnel performance, identify drivers of attachment and retention, deliver insights to optimize payment growth, and support cross-functional teams.

The Analytics Engineer will develop and manage dbt models and SQL queries, collaborate with stakeholders, ensure data quality, and support data analysis. They'll translate business needs into technical data solutions and maintain clear communication with diverse teams.