Top Analytics Jobs in Santa Cruz, CA

As a Machine Learning Optimization Evangelist, you will educate the ML community on optimizing their training and inference workloads. Your role includes publishing technical blog posts, contributing to documentation, speaking at conferences, producing webinars, and collaborating with strategic partners to enhance the usage of Hugging Face models on various compute platforms.

As an Analytics Engineer at Flex, you will develop and maintain core data models, collaborate with departments to define business metrics, ensure data accessibility, and drive data quality initiatives. You will create documentation for downstream teams and regularly audit data models for accuracy, playing a vital role in establishing data integrity across the organization.

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.

This is an invitation to join a talent community for Senior Operations Leaders at HelloFresh. Members receive updates on job openings, events, and career advice. HelloFresh aims to innovate in the meal kit industry, providing opportunities for members to make an impact and grow their careers.

The ServiceNow Business Process Consultant will guide clients in adopting ServiceNow best practices, conduct needs analysis, lead business process re-engineering, and provide support and mentoring to the team. They will build relationships with clients, establish project specifications, and manage process requirements to ensure successful delivery of solutions.

As a Data & Analytics Engineer at Rinsed, you will design and implement data pipelines, convert point-of-sale data into fact tables, and build dashboards for customer insights. You’ll collaborate with teams to optimize data usage, automate processes, and communicate data-driven findings to stakeholders.