Top Data & Analytics Jobs in Santa Cruz, CA

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.

Design, build, and migrate large-scale batch data pipelines into Databricks. Develop and optimize production-grade Python/Spark/SQL solutions, support parallel legacy and cloud systems during migration, lead technical design discussions, use AI tools to improve workflows, ensure pipeline reliability through testing/monitoring/tuning, and participate in a rotating on-call schedule.

Support data-driven decisions by analyzing financial and operational data, building and automating dashboards and reports, performing ad hoc analyses, ensuring data quality, documenting processes, and presenting actionable insights to business and finance stakeholders.

Translate web and marketing behavior data into actionable insights: measure website and marketing performance, analyze funnels and journeys, design and evaluate A/B tests, build reports and dashboards, monitor analytics integrity, and partner with cross-functional teams to define measurement and optimization opportunities.