Top Senior Data & Analytics Jobs in Philadelphia, PA

Design, develop, and implement analytics and reporting solutions. Build and debug complex SQL Server queries and stored procedures, design databases, create process flow diagrams, automate reporting with Excel/VBA, document technical solutions, and collaborate with cross-functional teams to identify and maintain BI solutions.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

Manage sports platform operations, develop risk management frameworks, and oversee trading activities to optimize profits in sports gaming.

Lead design and governance of enterprise data architecture for an integrated care platform. Architect scalable Azure-based data platforms, data lakes/warehouses, ETL/ELT pipelines, and integration across EHR, Dynamics, claims, and third-party systems. Establish data governance, quality, metadata and MDM standards, ensure HIPAA/HITRUST compliance, leverage AI for system improvements, and partner with product, engineering, clinical, and business stakeholders to deliver secure, high-performing analytics and reporting solutions.

Lead statistical analyses of wage-and-hour, payroll, and timekeeping data for litigation and DOL audits. Manage 2–3 statisticians, develop methodologies, ensure quality control, present findings to attorneys/clients, and drive process automation and team development while leading multiple projects from intake through completion.

Design, build, and operate large-scale distributed analytics pipelines for Comcast X1. Responsibilities include architecture, data integration, QA, releases, production troubleshooting, mentoring, and reliability improvements.

Serve as an individual-contributor actuarial analytics partner to brokers and clients, build complex risk and pricing models, assess reinsurance impacts, communicate insights, and modernize workflows using AI and modern tooling for scalable, repeatable analyses.

Design and document conceptual, logical, and physical data models for CRM/Customer 360. Develop modeling standards, author technical documentation, support large data warehouse implementations, and collaborate with stakeholders.

Design, develop, and maintain ETL processes and advanced SQL queries; build and manage SSRS reports and SSIS jobs; transform complex datasets into visualizations; troubleshoot ETL/job failures; work with SQL Server and Teradata; collaborate with business stakeholders to deliver BI solutions.

Design and deliver big data ingestion and streaming solutions using Flume/NiFi/Kafka and Spark/Storm. Collaborate with stakeholders, work in agile distributed teams, and support data warehousing and reporting initiatives.