Top Analytics Jobs in Santa Cruz, CA

The Fraud Operations Analyst will manage customer success communication regarding fraud issues, oversee fraud process management, maintain relationships with fraud vendors, and lead project management efforts aimed at fraud prevention. The role demands excellent analytical skills and effective communication to enhance customer experience and optimize fraud-related processes.

The Head of Analyst Relations will create partnerships and establish Atlan as a thought leader in data innovation by fostering relationships with industry analysts, sharing customer success stories, and leading industry research programs. This role emphasizes strategic communication, collaboration, and community building within the data landscape.

The Senior Analyst, Data Strategy + Operations will focus on driving key projects that support Brightwheel’s acquisition efforts through data insights. Responsibilities include analyzing data to improve business performance, managing cross-functional collaboration, and ensuring efficient delivery of data and insights. Attention to detail, strong organization, and analytical skills are vital for success in this role.

The Operations Research Analyst will conduct operations research related to economic analysis, cost modeling, and IT problem modeling. Key responsibilities include applying modeling techniques, monitoring project adherence to models, and developing simulation models. This role requires a secret clearance and involves occasional travel to client sites.

As a GTM Data Analyst at Connor Group, you'll analyze and optimize data in Salesforce to support marketing and sales teams. Your responsibilities include maintaining CRM data hygiene, developing lead scoring systems, creating actionable insights, and supporting territory management and campaign analysis. You'll also provide training in Salesforce and analyze competitive intelligence.

The Analyst will conduct research to keep abreast of trends in the crypto industry, assess investment opportunities, and create financial models to support evaluations.

The Data/Analytics Engineer will design, build, and maintain automated data pipelines and analytic systems, focusing on data warehousing, ETL processes, and collaboration with analysts to create scalable analytics solutions. Strong SQL and Python skills, along with experience in data integration and cloud technologies, are essential.