Top Remote Senior Level Data & Analytics Jobs in San Antonio, TX

Responsible for designing and maintaining data infrastructure, developing data pipelines, ensuring data quality, and collaborating with various teams to enhance data utility. Also involves communication with stakeholders and innovative solutions for business success.

The Senior Bioinformatics Data Engineer will build data pipelines, implement clinical data ingestion, and optimize platform infrastructure while ensuring data quality and compliance with legal standards.

The role involves developing insights from data to shape strategies for eyewear and software operations, focusing on customer experience, operational efficiency, and business growth. Collaboration across functions and advanced analytics are key to identify trends and enhance the customer journey.

The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.

Lead the analytics function for epocrates' subscription business. Manage product analysts, assess feature performance, and support strategic insights for product decisions.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

The Senior Pharmacy Business Analyst translates data into insights for pharmacy services, monitors performance, develops dashboards, and partners with stakeholders to drive decision-making.

The Senior Data Analyst will lead data analysis and reporting in experiential marketing, working with stakeholders to translate data into insights and improve business decisions. Key tasks include building data pipelines, ensuring data quality, and creating dashboards for visualization of key metrics.

Lead impactful business intelligence initiatives, own enterprise metrics, and oversee BI products to drive decision-making and improve customer experience.

Design and build scalable batch and streaming data pipelines, lead architecture for Lakehouse platforms, and mentor junior engineers while optimizing data quality and performance.