Top Remote Senior Level Data & Analytics Jobs in Philadelphia, PA

Responsible for infrastructure and operations of data storage solutions, third-party integrations, data provisioning services, and ETL/ELT code-based solutions. Develop and implement ETL/ELT pipelines, design databases, and optimize queries for web applications. Work collaboratively with data scientists, programmers, and IT teams in a global setting. Preferred experience in Clinical Data and Regulatory Governance in Pharma Industry.

As a Senior Data Analyst at Antenna, you'll be responsible for designing and building data solutions, ensuring timely and accurate data delivery, analyzing datasets for quality issues, and mentoring junior analysts. You will collaborate with commercial teams to support data-driven decision-making and optimize data processes.

The Data Scientist III will develop and deploy production-quality Python code within a cloud-native architecture, automate processes, and leverage AI/ML algorithms. Responsibilities include data manipulation, collaboration, and contributing to project completion while ensuring attention to detail and quality.

The Head of Analytics at Peerspace will lead the analytics team, develop data strategies, and drive decision-making through data insights. Responsibilities include optimizing analytics infrastructure, establishing reporting frameworks, and collaborating with cross-functional teams to enhance marketplace efficiency.

The Programmer Analyst-II is responsible for developing and maintaining software scripts for healthcare data analytics, collaborating on new software applications, ensuring quality assurance, and supporting cross-departmental projects. The role involves processing client data, optimizing the computing environment, and communicating technical information to non-technical users.

The Principal Data Scientist will optimize Kajabi's data ecosystem, providing insights and strategic recommendations to enhance growth, engagement, and revenue across multiple functions. Responsibilities include developing data strategies, building predictive models, conducting business impact analyses, and communicating findings to senior leadership.

The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.