Top Remote Data & Analytics Jobs in Santa Cruz, CA

The Senior Clinical Research Associate manages site monitoring and relationships for clinical trials, ensuring compliance and patient safety according to GCP and regulations.

The Actuarial Associate manages risk assessment tools, supports audits, prepares statistical models, and maintains the actuarial data warehouse while assisting the finance department.

Lead implementation of Microsoft Fabric, develop ETL processes and data pipelines, ensure data governance, and collaborate with stakeholders for technical solutions.

The Data Analyst gathers and analyzes data to provide insights for decision-making, focusing on process improvement and technology innovation. Responsibilities include data visualization, statistical analysis, and collaboration with cross-functional teams.

Analyze product and business data to define KPIs, build reliable analytics models and dashboards, and partner with cross-functional teams to surface insights, improve data quality, and support forecasting and experimentation.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

In this role, the Senior Database Engineer will optimize and operationalize large-scale data solutions, design data architectures, develop data pipelines, and ensure data reliability while collaborating with cross-functional teams for effective reporting and analytics.

The role involves acting as a subject matter expert in Data and AI, providing technical expertise during sales processes for Azure-based solutions, and mentoring team members to enhance client experiences.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.