Top Analysis Reporting Jobs in Philadelphia, PA

The Quantitative Methodologist will design statistically rigorous studies, apply advanced analytics, interpret results, ensure quality, and communicate insights to clients.

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.

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 Data Engineer/Architect will design and implement scalable data architectures, build automated data pipelines, develop data models, and establish data governance standards to support analytics.

The analyst will support data governance by reviewing master data, resolving data quality issues, and ensuring compliance with standards in clinical operations.

The Senior Statistical Programmer leads statistical programming tasks for clinical trials, developing and validating SAS programs and collaborating with biostatisticians to ensure statistical accuracy.

As a Business Systems Analyst 1, you will support business systems, conduct analyses, assist in documentation, and collaborate with clients and teams.

The Data Analyst Specialist will lead analytics for Vanguard's digital onboarding journey, improving client acquisition and operational efficiency through data insights, A/B testing, and stakeholder collaboration.

This role leads analytics initiatives, mentors junior data scientists, and applies advanced data science techniques for business decision making.

This role involves managing and analyzing data, creating visualizations, leading projects, collaborating with cross-functional teams, and communicating insights to stakeholders.

Manage the commercial data foundations used for analytics and reporting. Ensure data accuracy, governance compliance, and enable informed decisions through consistent datasets across finance and marketing.

The Application Developer - ETL supports the Enterprise Data Warehouse team in developing, testing, and implementing data engineering solutions, while mentoring junior developers and collaborating with senior engineers and project managers.