Top Remote Data & Analytics Jobs in Santa Cruz, CA

Lead translation of complex mortgage servicing business needs into scalable data and technology solutions. Perform business and data analysis, create user stories and system specifications, lead data mapping and system conversions, validate data models, support ETL/ELT and reporting, and collaborate with product, data engineering, architects, and software teams to enable data-driven decision-making.

The Workday Analyst supports and improves the Workday Payroll module, focusing on systems analysis, technical support, payroll configurations, reporting, and process improvements for US and Canada payroll environments.

The Reports Analyst role involves gathering, cleaning, and analyzing data, while training staff and providing insights to support business strategies.

As the Founding Data Lead, you will establish the analytics function, manage high-volume data, and provide insights to inform business decisions.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

The Forward Deployed Data Engineer will manage AI-automated data platform migration projects, ensuring timely delivery and communication with clients while utilizing proprietary tools.

The Industry Intelligence Analyst analyzes industry data, competitors, and customer insights to inform Vistex's market strategies and product innovations.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

The Senior Insights Analyst will analyze data to provide insights into the subscription economy, present findings, support reports, and manage projects while mentoring junior team members.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.