Top Entry Level Data & Analytics Jobs in Philadelphia, PA

The CMBS Analyst will monitor and assess CMBS transactions, perform cash flow analyses on commercial properties, derive property valuations, maintain surveillance on a CMBS portfolio, and contribute to research reports.

The Data Scientist will enhance organizational performance through innovative analytics models and processes. Responsibilities include collaborating with business stakeholders to identify opportunities for analytics solutions, conceptualizing and designing models to address business problems, sourcing data with Data Engineers, and fostering data science capabilities within teams.

As a Full Stack Data Scientist, you'll develop data pipelines, conduct data analysis, create visualizations, build and deploy machine learning models, and collaborate with teams to communicate findings. You will ensure model performance and maintain data-driven solutions in a cloud environment.

The Performance Analyst provides analytical support to investment teams by preparing quarterly and monthly reports, entering data from client statements, reconciling performance returns, and communicating results to clients. The role involves problem-solving discrepancies and analyzing client portfolios across various asset classes, while also participating in team projects related to data analysis and client deliverables.

The Analyst, Supply Chain Planning is responsible for creating and optimizing demand plans for devices and related materials, monitoring inventory levels, analyzing data for performance improvement, and coordinating with technical teams for reports and dashboards. This role involves developing forecasts, managing project timelines, and mentoring junior analysts.

The Quantitative Analyst will support the analytics team within the Football Operations by analyzing football data to enhance decision-making. Responsibilities include player evaluation, game preparation, and resource allocation, utilizing strong analytical skills, statistical modeling, and technical knowledge to derive insights from complex data.

The Quantitative Research Developer will design and support simulation frameworks for backtesting execution methods, and collaborate with quantitative researchers to generate new trading strategies.