Top Senior Level Data & Analytics Jobs in Philadelphia, PA

The Head of Data Operations will oversee global data operations ensuring data accuracy, availability, and reliability. This role includes managing an international team, overseeing data transfers/services, incident management, and optimizing operational workflows while responding to dynamic priorities.

The Senior Data Engineer will design and build components for data analytics products, clean and optimize data for usage, and implement new data management projects while collaborating with multiple stakeholders and adhering to best practices in development and deployment.

The Senior Staff Engineer - Data Scientist will support and develop products through data analysis, model development, and collaboration with stakeholders. This role involves creating statistical and optimization models, identifying trends in large datasets, and communicating insights to enhance business performance.

The Senior Data Scientist will engage in Generative AI initiatives, leveraging advanced machine learning techniques and large language models to build applications. Responsibilities include data collection, analysis, reporting, and influencing strategic business decisions based on complex data evaluation.

The Senior Director of Strategic Partnerships at insightsoftware will develop the partner program for Logi Symphony, focusing on identifying and managing partner relationships to increase bookings through strategic alliances. This role involves utilizing data for decision-making and collaborating with cross-functional teams to drive program growth and ensure alignment with business objectives.

The Senior GTM Systems Analyst will oversee the post-sales systems strategy, manage projects, build relationships with stakeholders, and ensure continuous improvement of processes and tools to enhance customer satisfaction. This role emphasizes technology ownership and requires a detail-oriented, strategic approach to system optimization.

Seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. Responsibilities include data integration, quality assurance, and exploring new technologies. Requires 5+ years of data engineering experience, proficiency in Azure services, Python scripting expertise, and strong communication skills.