Top Senior Level Analytics Jobs

The Sr Supplier Management Analyst oversees key suppliers and operational performance by managing supplier relationships, compliance, performance, and strategic sourcing. They partner with internal teams and suppliers to ensure business expectations and contractual obligations are met, with a focus on delivering value through effective project management and problem-solving.

The Senior Analyst, Advisor Compensation is responsible for managing incentive compensation programs, calculating payments, providing support to advisors and partners, analyzing financial data, conducting training, and participating in process improvement projects.

The Team Lead Program Analyst is responsible for providing expert-level technical direction and support in developing business systems software. This includes leading various projects, conducting analyses, mentoring team members, and ensuring program revisions to enhance efficiency. They also consult on client needs, assist in disaster recovery planning, and comply with industry regulations.

The Lead Portfolio Analyst is responsible for creating data-driven insights, managing project approval processes, tracking portfolio performance, optimizing resource utilization, and providing executive updates, while collaborating with cross-functional teams to improve processes and methodologies.

The Senior Researcher in Responsible AI at eBay will lead evaluations of AI systems, ensuring they align with ethical standards and business performance. Responsibilities include collaborating on research projects, conducting data-driven studies, and contributing to industry publications. This role aims to promote fairness and safety in AI deployments.

The Lead Data Analyst and Portfolio Manager will bridge IT and business teams, manage stakeholder relationships, handle requests through a centralized demand management process, prioritize project work, and oversee the delivery of Data, AI, and BI products. This role requires leadership of a team emphasizing technology adoption and process optimization.

As a Finance Data Scientist at Genesys, you will utilize advanced machine learning and statistical techniques to drive data-driven decisions, optimize revenue streams, and improve operational efficiency. Your role includes developing and deploying models, collaborating with cross-functional teams, and ensuring model interpretation and performance evaluation to inform business strategy.