Top Senior Analysis Reporting Jobs in Philadelphia, PA

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.

Serve as a data subject-matter expert for Capital Partners, translating business needs into requirements, user stories, and tactical data solutions. Partner with front-office, investment, and technology teams, support UAT, create data catalogs/flow diagrams, and drive process improvements to advance an AI-ready data platform.

Lead data discovery and design of enterprise data models, contracts, validation rules, and QA practices. Define metadata, data quality checks, and governance; partner with stakeholders and engineers to implement automated validation and ensure reusable, trustworthy city data.

The Senior Biostatistician will perform statistical modeling and analyses, design clinical trials, and collaborate with cross-functional teams to support R&D objectives in biopharmaceuticals.

The Senior Technical Business Analyst will support software development projects, focusing on analysis and procedures. Requires significant experience in business and system analysis, preferably in the tax or financial industry.

Lead design and delivery of scalable data warehouses and analytics platforms for T-Mobile Advertising Solutions. Architect and implement cloud data pipelines, mentor engineers, run design workshops, scope projects, and deliver end-to-end data solutions using cloud data services and modern data platforms.

Lead design, build, and maintain complex ETL/ELT data pipelines and integration solutions to support analytics and reporting. Ensure data quality, optimize processing for performance and scalability, monitor pipelines, document data lineage and procedures, and collaborate with stakeholders and analysts to resolve data issues and requirements.

Lead development of advanced analytical and machine learning models to optimize forecasting, inventory placement, and supply chain flows. Automate reports, analyze large datasets, deliver insights to leaders, drive cross-functional initiatives, mentor junior analysts, and recommend process improvements to boost operational performance.