Top Data & Analytics Jobs in Santa Cruz, CA

The Senior Consumer Insights Analyst leads consumer insights within cross-functional teams by managing research processes, synthesizing data, and delivering actionable findings to influence product development and strategy.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Principal Data Platform Engineer leads the design of data architectures, implements data platform patterns, and optimizes system performance, ensuring data strategy operates at scale.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

As a Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.

The Principal Credit Risk Analyst will lead credit risk strategy, monitor portfolio performance, collaborate on product growth, and engage in data-driven decision-making.

The UAT Lead is responsible for validating developed solutions in the Agile framework, collaborating with product teams to create test strategies, executing test plans, and facilitating alignment across project teams.

Manage a team of Data Analysts to provide actionable insights and dashboards for operational departments, overseeing business intelligence projects and collaborating with other teams to enhance data models.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.