Top Analysis Reporting Jobs in Philadelphia, PA

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.

Design logical and physical data models for large data warehouses, perform data profiling and domain modeling, optimize database performance for OLAP/BI systems, collaborate with business teams to gather requirements, and implement solutions using SSIS and Oracle/SQL.

The Data Analyst will automate solutions for data analysis, collaborate with technical teams, design ETL packages, and generate reports.

The SQL Developer will support the full project lifecycle, writing SQL procedures, improving database performance, and maintaining database objects.