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Top Remote Data & Analytics Jobs in San Antonio, TX
The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.
The Data Engineering Management Analyst will manage data migration, implement business management principles, and create ETL jobs using Azure Data Factory. Responsibilities include leading meetings, providing training, and contributing to business management and forecasting using advanced data techniques and tools such as PowerBI.
The RevOps Data Analyst will analyze key metrics across marketing, sales, and customer success, provide insights for decision-making, and create self-service tools for data accessibility. This role involves connecting data points to support a unified go-to-market strategy and drive business growth.
The Colleague Programmer/Analyst will collaborate with clients in higher education to develop integrations, customize and support their Colleague ERP instances, and ensure effective data reporting. Responsibilities include gathering requirements, developing specifications, managing technical projects, and assisting with systems integration and migrations.
As a Revenue Operations Data Analyst at Honeycomb, you will analyze and connect crucial metrics across marketing, sales, and customer success teams, generating actionable insights to drive business strategies. You will own GTM metrics, create self-service tools, and provide clarity in decision-making by delivering comprehensive analysis of customer journey data.
The Senior Data Scientist will lead data science initiatives, create data pipelines, analyze runner behavior data, develop analytical models, and collaborate across teams to inform product development. This role involves translating complex data into insights, managing projects, and ensuring data quality and accessibility for the Run Research team.
As a Subject Matter Expert, you will provide consulting services focusing on AI and Analytics Data Lakehouse Solutions, ensuring technical documentation's accuracy, validating solutions, and providing insights into modern data lakehouse technologies and configurations.
As a Senior Analytics Engineer, you will manage and evolve the data infrastructure primarily for finance, ensuring high data quality and availability. You will lead data projects, work with business and engineering teams, promote data-driven culture, and improve processes for analysis and reporting.
As a Data Engineer, you will maintain and optimize the data architecture by designing and implementing data platforms and pipelines, supporting migrations, troubleshooting issues, and ensuring compliance with regulations. You will also address stakeholder requirements and provide training support to staff members.
Oversee and optimize financial systems and processes focusing on Workday, leading integrations and financial reporting. Collaborate with teams to gather requirements and enhance configurations for efficiency. Manage banking integration and support users with troubleshooting while mentoring team members on Workday functionalities.
Top remote Companies in San Antonio, TX Hiring Data + Analytics Roles
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