Top Remote Data & Analytics Jobs in Philadelphia, PA

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

The Business System Analyst leads the analysis, design, and implementation of systems in Clinical Data Management, improves processes, and supports client areas. They manage projects, facilitate Agile processes, and document system details for training and turnover.

The Manager, Data Strategy leads client reporting and measurement efforts, ensuring accuracy and alignment with business goals while managing relationships and collaborating with internal teams.

As a Senior Associate, you'll manage customer success, lead customer meetings, interpret data to inform marketing decisions, and oversee project timelines.