Top Data & Analytics Jobs in Philadelphia, PA

This internship provides hands-on experience in Data Management, assisting in documentation, project meetings, data reviews, and cleaning tasks.

Lead and manage the clinical statistical programming organization, oversee regulatory submission programming (datasets, TLFs) for global agencies, maintain SOPs and infrastructure, automate workflows (including AI), manage vendors/CROs, and mentor programming staff to deliver compliant, timely clinical deliverables.

Design, develop, and maintain SSRS and Sigma reports and dashboards; write and optimize SQL; collaborate with data warehouse team; document BI tools; unit test and troubleshoot reports; manage projects independently.

Entry-level analyst supporting healthcare consulting engagements: acquire and clean data, build datasets, perform statistical analyses (regression, clustering, forecasting, survival), generate charts/reports, identify insights, support primary research and survey QC, and contribute to client deliverables while following firm procedures and pharmacovigilance requirements.

As a Fraud Analyst, you will analyze fraud threats, ensure regulatory compliance, enhance internal processes, and develop effective reporting for management.

The Business Analyst will develop and manage BI solutions, perform data analysis, and communicate effectively with both technical and business teams.

The Senior Internal Auditor plans and executes audits, analyzes compliance and operational effectiveness, reports findings, and supports internal control improvements.

Manage client relationships by delivering insights from Crossix Analytics Products, ensuring successful engagement through analytical thinking and project management.

The role involves Tealeaf analysis and administration, including user coaching, data analysis, reporting on customer experiences, and improving web functionalities.

Consultants leverage data strategies, governance, and advanced analytics to help businesses achieve strategic initiatives through data-driven decision-making.