Top Senior Level Analytics Jobs in Philadelphia, PA
Lead a team of data engineers to develop and maintain scalable data pipelines. Optimize workflows for data capture and processing, collaborate with architects and engineers, and ensure high-performance data engineering processes. Provide mentorship and design secure data ingestion workflows.
The Cloud Data Architect will lead major projects, develop cloud architecture proposals, optimize data systems, and ensure compliance across cloud environments. Responsibilities include mentoring team members, designing solutions for high availability, and creating strategic technical plans based on business needs.
The Senior Analyst II, Quality Control (Potency) ensures compliance in testing lentiviral vector and CAR-T products, designs method qualifications and validations, investigates anomalies, and mentors junior staff. This role collaborates with various teams to meet organizational testing needs while adhering to cGMP standards.
The SAP FICO Analyst will act as a Subject Matter Expert on financial business processes, leading complex project management efforts, supporting implementation of financial systems, and ensuring successful testing and data management. Responsibilities include strategic oversight, gap analysis, documentation of processes, and training users on new systems and processes.
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The Sr. Analyst, FP&A is responsible for economic evaluation, financial analysis support, and strategic planning for capital expenditures. This role involves building financial models, analyzing cost problems, and communicating financial projections while exercising independent judgment.
The Lead Analyst in Data & Quality Assurance is responsible for designing and executing test environments, ensuring quality for software products, and managing project teams. They lead investigations into defects, develop test strategies, and mentor junior Quality Assurance Engineers while collaborating with Product and Development teams to meet testing requirements.
The Logistics Analyst assists the Israeli Air Force Security Assistance Foreign Representative with Foreign Military Sales (FMS) transactions, providing logistical and financial support, managing office activities, tracking shipments, and preparing reports. The role interfaces with military personnel and requires strong communication and organizational skills.
The Head of Emerging Technology & Data Science is responsible for driving advanced technology and analytics integration within Hartford Funds. This role involves leading innovation in AI and machine learning, collaborating with stakeholders to identify solutions, and maintaining a catalog of AI solution patterns. The individual will report on progress, serve as a thought leader, and represent the company in the investment community.
The Senior Quantitative Researcher will design, evaluate, and enhance systematic trading strategies in the futures markets, employing statistical modeling techniques. They will continuously assess existing strategies and processes, ensuring improvements in research methods, data sources, and modeling techniques.
The Technical Solutions Analyst III supports customers with new technologies, acting as an escalation point for complex network and database issues. Responsibilities include troubleshooting applications, driving customer satisfaction, collaborating with teams, and maintaining support systems. The role requires expertise in database technology and strong communication skills to meet performance metrics and enhance customer experience.
As a Lead Data Engineer, you will design, implement, and maintain data pipelines using cloud technologies. You will serve as a trusted advisor, collaborate with product owners, and ensure technical solutions align with customer needs, while mentoring other engineers and staying updated on cloud advancements.
The Senior Data Process Consultant / Data Architect will engage with media and entertainment clients to define and improve data processes, ensuring data quality and recommending automation strategies. Responsibilities include leading workshops, analyzing current processes, delivering best practice recommendations, and overseeing the execution of data use cases by a consulting team.
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