Top Remote Senior Level Analytics Jobs in Los Angeles, CA

Lead and shape the data-driven culture at BlackLine as the VP of Data & Analytics. Develop and execute a comprehensive data strategy, oversee Data Engineering, ML, Data Science, and Data Analytics functions, and deliver actionable insights for business decision-making. Recruit and nurture a world-class data team while influencing go-to-market strategies and business decisions through data analysis.

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.

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.

Senior Manager role in Data and Analytics services focusing on aligning client data strategies to business strategy, choosing data platform, defining data needs, and migrating to modern cloud data environments. Responsibilities include problem solving, coaching, stakeholder engagement, and leading business development efforts.

Seeking a Director of Data Science to lead a team in partnering with marketing, sales, and product teams to drive business growth and launch high-impact initiatives. Responsibilities include driving high-quality data practices, developing predictive models, analyzing marketing trends, and building scalable data foundations. This strategic role will involve shaping the future of the business through data-driven insights and leadership.