Top Analytics Jobs in San Luis Obispo, CA

The Workday Data Senior Manager leads data conversion for large clients, assisting sales with proposals and project oversight. They mentor a remote team, ensure data integrity during migration, and enhance implementation strategies. The role requires strong leadership, problem-solving skills, and a collaborative approach to meet client objectives.

The eDiscovery Senior Associate is responsible for applying expertise in forensics, data processing, and analytics to enhance litigation strategies and optimize costs. Key responsibilities include coordinating with clients, analyzing unstructured datasets, implementing workflow solutions, and ensuring the accuracy of project deliverables.

The Regional Supply Chain Analyst provides support for establishing and standardizing global processes and tools to achieve departmental goals. This role focuses on continuous improvement, quality management, compliance activities, and regional support for supply chain performance. It requires effective communication, teamwork, and analytical skills to oversee departmental analytics and process improvements.

As a Reinsurance Analyst in the Juniper Re Graduate Hire Program, you will gain knowledge in reinsurance placement, accounting, claims administration, and develop client relationships. The program includes structured learning and on-the-job training over 24 months, with opportunities to obtain a (re)insurance broking license and ARe designation.

The Data Privacy Specialist oversees the B2B reporting process, leads improvements by developing new SOPs, mentors team members, dedicates time to project work, and resolves operational challenges.

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 role involves applying knowledge of statistics and probability, conducting user research, and leveraging data analytics and data science skills to contribute to game development. Experience with simulation or live service games is preferred but not required.