Top Data & Analytics Jobs in Philadelphia, PA

The role involves Tealeaf analysis and administration, including user coaching, data analysis, reporting on customer experiences, and improving web functionalities.

The Systems Analyst translates business requirements into system specifications, documents system changes, coordinates project activities, and interacts with stakeholders and technical teams.

The Kinaxis BA will build and deploy workbooks, troubleshoot issues, interpret business requirements, and provide production support in the Kinaxis environment.

This internship provides hands-on experience in Data Management, assisting in documentation, project meetings, data reviews, and cleaning tasks.

Design and develop simulation frameworks for backtesting trading strategies, while collaborating with quantitative researchers on new trading ideas.

Design, develop, and execute enterprise CRM data migrations into Microsoft Dynamics CRM/365 using KingswaySoft and SSIS. Extract, transform, cleanse, validate, and load structured and unstructured data from legacy systems, optimize SQL/SSIS, troubleshoot performance, support integrations and customizations, perform validation testing and production cutovers, and document migration architecture and procedures while ensuring data governance and security compliance.

Consultants leverage data strategies, governance, and advanced analytics to help businesses achieve strategic initiatives through data-driven decision-making.

Manage client relationships by delivering insights from Crossix Analytics Products, ensuring successful engagement through analytical thinking and project management.

Perform metro- and national-level economic analysis and forecasting focused on housing, mortgage, unemployment, and interest rates. Develop and maintain econometric valuation and unemployment models, research model improvements, support economic scenario and capital modeling, evaluate new products/credit structures, and present findings to senior management to inform strategic decisions.

Lead marketing analytics projects for clients using quantitative methods (MMM, attribution, forecasting). Provide analyses, recommendations, presentations, and manage a team. Work includes digital and offline impact assessment, pricing/promotion analytics, and customer-level data analysis. Significant client interaction and frequent travel required.