Top Analysis Reporting Jobs in Philadelphia, PA

The Data Strategy Manager will lead projects to deliver data strategy solutions in Life Sciences, manage client relationships, and mentor team members.

The role involves delivering SAP FICO solutions, ensuring compliance with business requirements, and enhancing SAP functionality through configuration and testing.

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 analyst will monitor CMBS transactions, provide updates to investors, conduct research, visit properties, and communicate with clients.

As a manager, lead innovative modeling and data structure development, supervise teams, drive strategic initiatives, and maintain compliance with professional standards.

As a CDP Platform Support Analyst, you will optimize audience segments, manage data integrations, and apply AI/ML models for audience segmentation and personalization in a creative setting.

Lead analytics for Pharmacy and HUB operations, track KPIs across the patient journey, build dashboards and models, generate actionable insights, partner with cross-functional teams and vendors, and support strategic decision-making and reporting.

11-week paid Data Engineering internship building data validation and monitoring for DOOH platforms. Design automated data quality checks, tests, and alerts across Snowflake, Redshift, RDS, and S3 using SQL and Python. Contribute to ETL pipeline hardening, documentation, and data observability.

Work cross-functionally to analyze large datasets, build and deploy time-series forecasting and outlier-detection models, conduct A/B tests and NLP analyses, automate modeling pipelines, and deliver clear, executive-facing insights to inform business strategy and optimize outcomes.

The Lead Analyst for AI Ops is responsible for ensuring application performance, troubleshooting errors, managing incidents, and improving system stability through analysis and collaboration with stakeholders.

Work with R&D Data Science & Digital Health teams to apply data science and analytics engineering to research questions. Contribute to projects improving patient care through predictive modeling, analysis of large healthcare datasets, and development of digital health solutions. Collaborate cross-functionally, follow software development best practices, and gain hands-on experience in cloud, GPU, and high-performance computing environments.