Top Data & Analytics Jobs in Philadelphia, PA

Contract PL/SQL developer to design and maintain Oracle PL/SQL code, perform ETL work, and support data warehousing and BI initiatives. Experience with Informatica, Teradata, and optionally Pentaho preferred. 6–12 month position based in Philadelphia.

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.

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

Analyze historical and real-time staffing and appointment data to forecast resource needs, build staffing plans, create reports/dashboards and process maps, and collaborate with leadership, HR, and training to optimize scheduling and staffing levels.

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.

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.

Lead data architecture harmonization and integration efforts. Design and implement ETL and data architectures, hands-on with Informatica, Teradata, and UNIX; leverage Hadoop as secondary skill.

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.