Top Remote Senior Level Data & Analytics Jobs in Birmingham, AL

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.

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.

The Senior Data Engineer at Cypris will design, build, and maintain scalable data pipelines and systems. Responsibilities include optimizing data performance, implementing ETL processes, collaborating with teams for data solutions, and ensuring data security. The role focuses on enhancing data capabilities in an AI-powered research tool for global innovation data.

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.