Top Remote Data & Analytics Jobs in San Antonio, TX

As a Data Scientist I, you will help the data team by identifying and managing data sources, utilizing Python, SQL, and R for data scraping and visualization. You will automate data processing, develop machine learning tools, collaborate with various teams, and advocate for best practices in data analysis and visualization.

The EHR Technical Services Analyst at iRhythm provides remote technical support to EHR-integrated clients. Responsibilities include troubleshooting customer issues, managing integrations, driving expansion projects, analyzing support trends for improvements, and collaborating with various internal teams to enhance customer experience and service efficiency.

As a Staff Technical Lead at HubSpot, you will drive the development of the GraphQL Middleware team, collaborating with cross-functional teams and providing mentorship. You'll focus on building and enhancing backend systems, improving performance, and scaling GraphQL infrastructure while advocating for technical best practices.

The Revenue Operations Analyst will enhance internal sales and marketing processes at UserGems, support go-to-market teams, and streamline operations through data-driven insights and recommendations. Responsibilities include system changes, onboarding training, and collaboration with sales and customer success teams to optimize the implementation of UserGems' solutions.

The Senior Test Analyst will design and deliver customer experience solutions, manage testing efforts based on design documents, write and execute test cases, create test data, monitor test progress, and support User Acceptance Testing while assisting clients in understanding the scope of testing.

The Cyber Threat Hunt Analyst is responsible for creating threat models, planning threat hunt missions, analyzing logs, and reporting risk analysis. This role involves collaborating with teams to enhance threat detection and security posture. Ideal candidates should have experience in network and host analysis and proficiency in scripting languages.

As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.