Top Senior Analysis Reporting Jobs in Philadelphia, PA

Leads catastrophe risk research and model validation across natural catastrophe, terrorism, and climate-related perils. Responsibilities include evaluating vendor models, developing AIG’s view of risk, researching climate impacts, documenting model governance, improving catastrophe modeling processes, and collaborating with actuarial, underwriting, risk engineering, ERM, data, and external vendor teams. The role requires advanced catastrophe modeling knowledge, regional peril expertise, strong communication skills, and programming proficiency in R, Python, and SQL.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Leads enterprise data quality strategy and operations across Johnson & Johnson’s One Data Platform. Responsibilities include defining quality standards and controls, profiling and validating commercial pharmaceutical data, monitoring dashboards and metrics, coordinating root-cause analysis, driving remediation, and improving data readiness for analytics and AI. The manager partners with business, engineering, governance, master data, and external provider teams while leading delivery partners and coaching team members.

Leads enterprise data architecture, SQL Server administration, data warehouse design, ETL/ELT pipelines, Azure data platforms, data governance, master data management, and business intelligence strategy. Partners with business and IT stakeholders to deliver scalable analytics solutions across financial, HR, CRM, operational, and practice management systems. Provides technical leadership, vendor coordination, architecture documentation, and mentorship.

Supports and modernizes enterprise data services, including SQL Server and cloud-based ETL/ELT, data warehouses, pipelines, data integration, dimensional modeling, and OLTP environments. Develops SSIS, Azure Data Factory, and Microsoft Fabric pipelines; troubleshoots production data and integration issues; optimizes SQL and stored procedures; documents data flows and lineage; and collaborates with technical and business teams on secure, compliant data solutions.

Leads retrospective analysis of wearable sensor and physiological data, developing analysis tools, metadata systems, visualizations, statistical models, and machine learning workflows. Investigates data anomalies across hardware-to-cloud systems, curates large heterogeneous datasets, defines analytical requirements, and translates complex data into products and reports for technical, executive, and end-user audiences. Collaborates with engineering, product, and business stakeholders while establishing analytical standards and tooling.

Leads reporting, business intelligence, data integration, ETL, data quality, and regulatory reporting functions. Manages reporting and integration staff, establishes data standards and governance practices, oversees dashboards and analytics products, and partners with clinical, IT, quality, and operations teams. Requires healthcare data expertise, SQL and BI tool proficiency, project leadership, and at least five years of relevant experience. Philadelphia residency and U.S. work authorization without future sponsorship are required.

Leads advanced predictive and prescriptive analytics initiatives supporting DLA Clothing and Textiles demand planning, inventory, budgeting, supply-chain operations, and mission readiness. Develops statistical models, analytical frameworks, dashboards, and self-service products; coordinates data and analytics across JDA, EBS, SAP, EDW, SAS, and other DLA environments. Manages large-scale solution development and deployment, identifies analytics opportunities, and translates complex analyses into actionable stakeholder insights.

Leads Madrigal’s commercial data operations, including source integration, data quality, master data management, data products, business intelligence, governance, and architecture. Establishes reliable data supply chains, monitoring, compliance, and self-service analytics capabilities. Builds and develops multidisciplinary data teams, manages vendors, partners with IT and business stakeholders, and drives the roadmap for automation, modernization, and AI-enabled data operations across the commercial organization.

Manage and maintain healthcare data assets, including medical and pharmacy claims, analytical datasets, integrations, metadata, and data quality processes. Build and validate complex SQL queries, coordinate with data suppliers and engineering teams, translate business requirements into data solutions, and support analytics, governance, documentation, and process improvement initiatives.