Top Analysis Reporting Jobs in Philadelphia, PA

The Senior Associate in Data Analytics & Insights will analyze complex problems, mentor team members, and translate requirements into actionable specifications, primarily in the healthcare domain.

Perform quantitative analyses and build advanced statistical models using tools like R, SAS, SQL, and Excel. Design custom analyses, synthesize findings for clients, support project management, develop client relationships, mentor junior staff, and contribute to Value & Access strategy for life sciences clients.

The Principal Data Architect leads technical and business discussions on architecture direction, participates in enterprise strategic development, and manages architecture governance while aligning architectural requirements with IT strategy and business goals.

The Data Modeler will design and maintain data models, support data architecture, collaborate with product teams, and ensure quality and governance of data products.

The VP, Global Head of Statistics leads statistical strategy for vaccine clinical research, providing statistical analysis, overseeing a large team, and influencing cross-functional research efforts.

The ERP Data Analytics and Reporting Analyst manages report development, requirements gathering, testing configurations, and identifies issues post-implementation, enhancing ERP data reporting for the City of Philadelphia.

The OPAL Data Conversion, Analytics, and Reporting Lead manages a team focusing on data conversion, analytics, and reporting for the OPAL ERP project, ensuring data quality and facilitating collaboration with business teams for insights and enhancements.

The Sales Analyst creates reports, analyzes data, and provides insights to optimize sales performance and business planning in a dynamic environment.

The Rebate Analyst will support clients in managing rebate agreements, analyze contract terms, validate reports, handle disputes, and maintain client communications. Success is measured by project completion rates and client satisfaction.

The Data Engineer, Specialist designs and maintains scalable data pipelines, builds ETL processes, optimizes data storage, and collaborates with stakeholders to support analytics efforts.

The role involves analyzing complex datasets to provide insights, leading analytics projects, ensuring data quality, and mentoring peers. It requires expertise in advanced analytics, machine learning, and data visualization, driving automation for efficiency.

The Manager, EHS&S Insights & Analytics leads the data and analytics initiatives for EHS&S, overseeing digital systems, reporting, and ensuring compliance. This role collaborates with IT and EHS&S leadership to optimize data governance and analytics solutions, contributing to operational excellence and informed decision-making.