Top Remote Data & Analytics Jobs in Reno, NV

The Data Solutions Engineer will architect data systems, build pipelines, ensure data governance, optimize performance, and mentor team members to support analytics and operational workloads.

The Lead Data Management role focuses on improving data processes, leading analysis and resolution of data challenges, and mentoring team members while fostering collaboration and innovation in business intelligence.

The Informatics Lead oversees Medicaid Prior Authorization analytics, ensuring regulatory compliance and operational excellence. They collaborate with teams, refine data solutions, mentor staff, and uphold data governance standards.

The BI Director leads the development of analytics and reporting to drive insights for management, overseeing BI platforms and coordinating project teams. Responsibilities include recruiting staff, managing accounts, and implementing strategic plans.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.

The Data Migration Specialist plans and executes data migrations for EvenUp, ensuring accurate and secure data transfer into their platform and supporting customer adoption.

The role involves reviewing and correcting emergency call transcripts in Spanish and proofreading English translations, requiring attention to detail and quality focus.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Director of Analytics leads a team to generate insights using healthcare data, supports product development, and engages with clients, leveraging advanced analytics to inform decision-making.

Lead design, planning, execution, and quality oversight of clinical trial data management (Phase I-IV). Manage CROs and vendors, ensure EDC/eCRF/ CDM standards, support database locks/snapshots, collaborate with Biostatistics/Programming and other functions, and maintain regulatory-ready documentation for submissions.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.