Top Data & Analytics Jobs in Santa Cruz, CA

Design and deliver scalable data solutions for analytics and reporting, involving hands-on data engineering and technical leadership, while ensuring quality and governance.

The Data Analyst is responsible for developing and executing service requests, conducting data analysis and visualization, building data pipelines, and improving data-driven processes. They engage with clients, ensuring data accuracy and automated reporting to optimize business operations.

The Sr. Tableau Admin will manage multi-environment Tableau administration, setup disaster recovery, configure trusted authentication, optimize performance, and integrate R analytics with Tableau.

Own and execute sales performance reporting and pipeline/forecast analytics for SaaS KPIs. Design and maintain BI dashboards (DOMO preferred), automate data feeds and alerts, troubleshoot data discrepancies, perform ad-hoc analyses, and present actionable insights to sales leadership and executives to optimize pipeline, forecasting, and rep performance.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

The Sr. Underwriting Ops Associate ensures operational integrity in underwriting processes by validating data, approving quotes, monitoring performance, and partnering across teams to resolve issues.

Lead partner analytics by building scalable dashboards, forecasting and ROI models, and experimental designs to evaluate and optimize partner performance. Collaborate with Product, BD, Marketing, and Data Engineering to improve pipelines, translate insights into recommendations, and mentor analysts to scale partner growth.

The role involves gathering requirements from stakeholders and developing comprehensive reporting solutions for supply chain operations in a remote setting.

The SnapLogic Support Engineer provides L2/L3 support for integrations, monitors integration jobs, resolves data issues, performs root cause analysis, and engages with business users and vendors.

The QA DB Integration Engineer will validate data integrations and APIs, ensuring data accuracy and end-to-end quality across business systems through various testing methodologies.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

Support data collection, analysis, and reporting for a government care program. Develop data collection tools, identify performance indicators, conduct analysis and visualization (Power BI/Tableau), prepare summaries and presentations, train staff, oversee report quality, and help build data repositories and ETL processes.