Top Analysis Reporting Jobs in Philadelphia, PA

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

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 role involves managing, optimizing, and supporting Looker platforms, ensuring reliability, governance, and delivering high-quality BI solutions in partnership with business teams.

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.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

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 role requires expertise in SAP FI Treasury for finance and treasury modules with at least 10 years of experience and project involvement in public sector.

The SQL Developer will support the full project lifecycle, writing SQL procedures, improving database performance, and maintaining database objects.

The Manager, Data Science - Oncology will lead data engineering initiatives, optimize workflows, and support data projects, specifically in Oncology R&D. Responsibilities include developing data pipelines, managing a technical team, and collaborating with stakeholders to deliver data solutions.

The Data Scientist will provide data analytics, create dashboards, and collaborate with stakeholders to drive financial and operational improvements in supply chain management.