Top Senior Level Data & Analytics Jobs in Philadelphia, PA

The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.

As a Risk Analytics Expert, you will lead technical product demonstrations, advise clients on regulatory processes, manage client projects from concept to delivery, and provide insights to the Product team at ZestyAI. Your role is pivotal in translating complex data into intuitive insights for clients in the property and casualty insurance industry.

The Operations and Fraud Analytics Lead will utilize advanced analytics to enhance business operations, develop fraud prevention strategies, and optimize profitability, collaborating with various departments to address complex business challenges and improve operational efficiency.

As a Senior Data Engineer at Apollo.io, you will develop and maintain scalable data pipelines, implement monitoring and data quality processes, and work on data model definitions while collaborating with various business units and engineering teams.

The Sr. Manager of Analytics at Lyra Health will lead the analytics team in providing scalable reporting, insights, and operational forecasting. Responsibilities include overseeing data analysis, metric definition, dashboard creation, and team management while collaborating with product and tech teams.

As a Senior Data Analyst at Typeform, you will collaborate with stakeholders to explain business performance metrics, conduct data analysis using SQL and Python, and create automated reports. You'll work closely with Marketing, Product, and Sales to align analytics with business goals and support data-driven decision-making through experimentation and insights.

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions. They lead data engineering projects and collaborate with cross-functional teams to enhance data initiatives.