Top Senior Level Data & Analytics Jobs in Philadelphia, PA

As a Senior/Staff Data Scientist, you will process large datasets into strategic insights, design machine learning models, and perform statistical analyses for product and leadership teams. Responsibilities include evaluating ML opportunities, mentoring mid-level data scientists, and collaborating with product and engineering teams. You will also communicate technical findings to various stakeholders and contribute to the development of the company's data science capabilities.

The Workday Senior HRIS Analyst provides business and technical direction, troubleshoots data integrity issues, develops functional and technical requirements, conducts data analysis, leads projects, and improves processes for HR and BMC.

As an Operations Analyst Manager at Fetch, you will solve complex challenges in the scan-and-match space, manage a team of analysts, and collaborate with software development teams to develop scalable solutions. Success requires strong SQL skills, problem-solving abilities, and effective communication.

As a Senior Payments Data Analyst, you will analyze payment data to provide insights, optimize processes, and monitor payment success metrics. You'll collaborate with teams for innovative testing initiatives and lead automated performance monitoring systems, while also preparing various reports for executive leadership. Strong analytical skills are essential for understanding trends and making data-driven decisions.

As a Market Intelligence Analyst, you will conduct market research and analysis of the semiconductor capital equipment market, develop financial models, provide strategic recommendations to senior leadership, and collaborate with various teams to implement market strategies and campaigns.

The Technical Analyst Lead will oversee system and infrastructure operations, provide technical direction to improve workflows, manage hardware and software deployments, and ensure successful integration of critical projects, all while working with multiple teams.

The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.