Top Remote Senior Level Data & Analytics Jobs in Houston, TX

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.

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.

This role involves supporting the Digital Experience team's roadmap by collaborating with various stakeholders to enhance digital engagement initiatives. The incumbent will apply their expertise in technology disciplines to ensure applications align with business goals and provide a consistent customer experience.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

The Database Administrator will monitor and optimize geospatial databases, perform SQL Server administration, and work collaboratively with various teams to improve database performance, implement data standards, and assist in database design and development.

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.

The Senior Analytics Engineer will design, develop, and maintain a high-quality data warehouse and analytics solutions, ensuring data pipelines are efficient and accurate. This role includes leading data model transformations, collaborating with cross-functional teams, and enabling self-service analytics to support data-driven decision making.