Top Senior Level Analytics Jobs in Los Angeles, CA

Lead the integration of SAP MDG and BODS for SAP S/4 transformation at NBCUniversal, ensuring efficient migration of Master Data and transactional data. Responsible for design, build, and support of SAP MDG, SAP Data Services, and Information steward.

The Sr. Business Systems Analyst will lead critical initiatives for CLM processes, collaborate with stakeholders to define strategies, and provide CLM application support. They must have a deep understanding of CLM processes and experience in the SaaS industry.

Responsible for leading centralized Data functions for Square, including Data Science, Analytics, Machine Learning, and Data Engineering teams. Architect of Square's Data strategy, driving strategic direction, technical roadmap, and data governance principles. Cultivates a culture of agility and continuous enhancement, delivers impactful insights to partners, ensures customer-focused data practices, and builds and scales a top-tier data team.

Senior Manager role in Information Governance team focusing on data protection, data analytics, cyber resilience, and strategic programs. Responsibilities include defining data governance strategy, architecture, and practices. Requires 5 years of experience and a Bachelor's degree.

Lead centralized Data functions at Square, including Data Science, Analytics, Machine Learning, and Data Engineering teams. Develop and implement Square's Data strategy to drive business performance and innovation. Build and maintain a top-tier data team to meet evolving data demands.

Restaurant365 is seeking a Manager, Business Intelligence to lead the Data & Analytics team in driving data-informed decision-making. Responsibilities include people management, data product management, project management, and stakeholder engagement. The successful candidate will need 8+ years of experience in data and 3-5 years of formal people manager experience.

Provide research and analysis of schedule and technical data, develop schedule risk assessments, lead support to space program offices, develop integrated master schedules, conduct schedule diagnostics, communicate effectively with program office and customers, work as part of a team in a fast-paced environment, think critically, and synthesize information from multiple sources.