Top Analysis Reporting Jobs in Philadelphia, PA

The Sr. BI Analyst will collaborate with stakeholders to develop reporting and analytics solutions, automate workflows, and synthesize findings for leadership. The role requires proficiency in SQL, Python, R, and Power BI.

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

The Business Intelligence Engineer designs and maintains data models, pipelines, and reporting solutions for data-driven decision making, while collaborating with stakeholders and improving data quality.

The Data Analytics Consultant is responsible for research tasks to locate next of kin of policy owners, analyzing data from private and public sources, and collaborating with the team to present findings.

The Data Engineer is responsible for building and maintaining data pipelines, ensuring data quality and reliability, and collaborating with various teams on data needs. This involves working with AWS tools and programming in Python and SQL to support analytics and infrastructure.

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.

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

Lead the implementation and optimization of data governance for AI initiatives, managing policies, compliance, and cross-functional collaboration in Microsoft Azure environments.

The Lead Data Engineer will design and implement data solutions for imagery models, lead engineering efforts, collaborate with stakeholders, and ensure data quality and governance while optimizing data pipelines.

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