Top Remote Data & Analytics Jobs in San Luis Obispo, CA

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

As the Deal Desk Lead, you'll manage deal execution, optimize sales workflows, and collaborate across Finance, Sales, and Legal to enhance operational efficiency and scalability.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

The Analyst II will leverage data analytics to derive insights, optimize credit strategies, and collaborate with cross-functional teams including Machine Learning and Engineering.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

Lead development of analytics platforms at GameChanger, enhance BI tools, define metrics, and contribute to data modeling for insights.

The Solutions Consultant will analyze deal economics and performance metrics, educate partners about Upstart products, and collaborate with multiple teams to drive partner adoption and strategic decisions.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

Support the S&OP process, manage supply planning for materials, analyze data, and contribute to continuous improvement in planning processes.

The Behavioral Insights Lead - Bitcoin will manage a team analyzing financial patterns and risks in Bitcoin and cryptocurrency, developing ML models to prevent fraud while collaborating with various business functions.

As Lead Data Engineer, you will guide a team, manage the data platform, and oversee the development of ML infrastructure and feature stores.