Top Remote Data & Analytics Jobs in Sacramento, CA

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

The Senior Technical Analyst collaborates with stakeholders and engineers to document requirements, ensure quality, and support SDLC activities, while being a trusted advisor on solution design and process impacts.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

Lead oversight of data management for assigned studies, manage external vendors, review and approve DM documentation, perform secondary UAT of EDC, implement RBQM oversight, and provide cross-functional input on protocols and study deliverables to ensure data quality and regulatory compliance.

As an Associate Director, you'll lead the design and implementation of integrations using iPaaS tools, manage teams, and help clients optimize ERP transformations.

The Lead Partner Success Implementation Engineer drives partner success through strategic implementation, technical guidance, and collaboration, ensuring optimal platform usage and partner enablement.

The Senior Korean Linguist manages translation and copy-editing tasks, coordinates with freelancers, and ensures high-quality Korean-language deliverables while improving workflows and supporting quality efforts.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

The Data Product Manager (DPM) leads the lifecycle and development of data-centric products, aligning them with business goals and collaborating with cross-functional teams to deliver value and insights from data products.