Top Analysis Reporting Jobs in Santa Cruz, CA

The Workday Financials Senior Analyst role involves supporting the implementation and ongoing administration of Workday Financials. Responsibilities include collaborating with internal teams, configuring systems, troubleshooting issues, and leading process improvements for financial modules. The role requires strong expertise in Workday Financials and financial processes, along with superb communication skills.

The Implementation Analyst will design and configure software platforms for customers, manage implementations, analyze client data, and ensure a smooth onboarding process. Responsibilities include project management, stakeholder communication, and providing consultative recommendations throughout the implementation process.

As an AI Quality Analyst, you'll review and analyze AI-driven conversations for quality assurance, suggest improvements, deliver feedback to chat agents, monitor compliance with communication standards, and support the creation of training materials. Your role is essential in enhancing customer engagement through effective dialogue management.

The Web Analytics and Optimization Lead is responsible for developing web analytics strategies, conducting A/B testing, analyzing user behavior, and automating reporting processes. This role involves collaborating with various teams to optimize digital marketing initiatives and improve user engagement based on data-driven insights.

The Senior Research Scientist will lead and oversee systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, and mentor junior staff. The role requires collaboration with team members and clients to ensure high-quality outputs and timely delivery of projects.

The Senior Survey Analyst will manage survey projects, focusing on programming, quota generation, data collection, and analytics for multinational tracking studies. Responsibilities include executing survey weighting, quality assurance, and advising stakeholders on methodology. Proficiency in R and familiarity with Python are essential.

The Survey Data Analyst will manage survey data initiatives, analyze data, summarize findings, present insights to clients, and collaborate with cross-functional teams. Responsibilities include designing surveys, ensuring data quality, driving improvements, and providing actionable recommendations to enhance operations.