Top Senior Level Analytics Jobs in Philadelphia, PA

The Senior Analyst for Sales Incentive Compensation will manage the full cycle of sales incentive plans, ensuring accurate calculations and reporting. Responsibilities include reconciling commissions, handling inquiries from the sales team, and supporting compliance projects while identifying process improvements.

The role involves analyzing a variety of structures including metallic and reinforced concrete structures for small modular reactors. Responsibilities include executing and documenting static and dynamic analyses, reviewing designs, preparing deliverables, and supporting licensing documentation. The role requires familiarity with various software and codes relevant to structural analysis.

The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.

Manage and mentor a team of RCM Performance Analysts, enhance operational efficiency through data-driven insights, oversee performance metrics analysis, develop reporting dashboards, identify process improvement areas, and facilitate cross-functional communication to align client performance goals.

As an Analytics Lead, you will manage projects for medium- to large-scale clients, overseeing data management, report building, and communication. You'll work with analysts and data scientists to deliver data-driven insights while leading teams and engaging with clients to achieve strategic goals.

Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.