Top Remote Data & Analytics Jobs in Houston, TX

The Clinical Data Manager oversees clinical trial databases, creates documentation, reviews data, trains staff, and ensures compliance with regulatory standards.

The Senior Clinical Data Manager oversees clinical trial databases, mentors junior staff, and ensures data quality and compliance with regulatory standards.

The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.

The Digital Analytics Analyst will develop data strategies, implement analytics tools, and translate complex data into actionable insights for business impact.

Lead end-to-end data migration projects, collaborating with customers to analyze, map, transform, and validate data for successful go-live outcomes.

Manage and optimize the Business Intelligence engineering team, develop BI strategy, oversee project management, and ensure data accuracy.

Data Annotation Specialists evaluate and improve AI model safety by labeling content, applying nuanced judgment, and creating test cases while ensuring data quality and consistency.

The Senior Data Analyst leads data lifecycle management, develops dashboards and reports, and mentors junior team members while optimizing business processes.

The Data Team Supervisor manages the data analysis team, ensuring efficient data warehouse operations, leads project lifecycles, and collaborates with stakeholders for analytics solutions.

The Salesforce Solutions Lead will provide technical leadership in Salesforce, focusing on Health Cloud, data models, and collaboration with marketing and service teams to enhance customer service.

As a Data Analyst Intern, you will assist in data collection, cleaning, analysis, and visualization to support business decisions in a remote setup.

As a Data Architect, you will define and implement data architecture solutions, collaborate with stakeholders, and design data platforms and pipelines to enhance data management and analytics capabilities.