Top Senior Level Analytics Jobs

Research and test new optical technologies for wafer inspection implementations, conceive new concepts based on solid physics understanding, validate concepts through modeling and experiments, design and conduct experiments, work with engineering teams to implement new technologies.

The Senior Analyst, Derivative Operations will manage operational aspects of derivative investments, support daily margin call processes, data management, investment accounting oversight, and ensure legal compliance. Responsibilities include issue resolution, process improvement, and collaboration with stakeholders on strategic initiatives and regulatory changes.

The Senior Salesforce Analyst provides expertise in developing and enhancing business systems, guiding less-experienced analysts, analyzing user needs, and translating them into system specifications. They work on improving tools for internal and client-facing applications, ensuring business implications are considered during technological application.

The Senior Analyst, Data Science conducts data analysis to identify trends and derive insights that drive revenue generation. Responsibilities include managing large datasets, ensuring data quality, developing dashboards, and collaborating with stakeholders. The role emphasizes continuous improvement and effective problem-solving using analytical skills and data visualization tools.

Lead a team of data scientists and analysts focusing on creating safety metrics for self-driving vehicles. Responsible for developing metrics strategy, enhancing machine learning models, and ensuring data science best practices. Engage with various stakeholders to drive data-informed decision making in the AV industry.

The Implementation Manager is responsible for leading enterprise customer implementations of the Culture Amp platform, ensuring customer satisfaction, managing projects from start to finish, providing technical guidance during pre-sales and post-sales, and collaborating with cross-functional teams to optimize processes and product improvements.

As a Data Engineer II, you will collaborate with various teams to build scalable data systems that improve player experiences. Your responsibilities include ensuring code quality, mentoring engineers, and designing data solutions while prioritizing security and privacy. You will also innovate to enhance player experiences and support Riot’s game development lifecycle.