Top Remote Data & Analytics Jobs in Santa Cruz, CA

The Manager focuses on OneStream, leading implementations and technical support for clients, gathering requirements, and ensuring effective solutions. Collaboration with teams and client training are key responsibilities.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The Revenue Strategy and Operations Manager will drive GTM transformation, manage RevOps functions, and design data-driven workflows for sales and post-sales. Responsibilities include forecasting, automation, and performance analytics with a focus on enterprise sales.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

The Principal Business Analyst will lead initiatives to optimize underwriting and acquisition strategies, leveraging data analysis and collaborating with cross-functional teams to improve profitability and credit risk.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

As a Data Analytics Lead, you'll define KPIs, build data models, and develop actionable reports to support scalable analytics in a fast-growing healthtech company.

The role involves maximizing profitability through revenue optimization, forecasting, analysis, and collaboration with cross-functional teams, focusing on pricing and seat inventory management.

The Analytics Principal will lead analytics for key client partnerships, analyze large datasets, develop insights, and mentor junior analysts.

The role involves architecting intelligence infrastructure, building data pipelines, collaborating with other teams, and ensuring data accessibility and security for threat detection systems.