Top Senior Level Data & Analytics Jobs in Philadelphia, PA
As a Data Architect, you will design and implement data strategies for clients utilizing Google Cloud and Azure technologies. Responsibilities include architecting data warehouses, migrating data, and providing educational workshops. You will serve as a liaison between business and technology teams, ensuring effective architecture solutions are in place.
As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.
The Field Application Scientist will support sales by providing technical expertise, conducting product demonstrations, and delivering training on LI-COR Biotechnology products. They will manage multiple projects, assist customers with technical queries, and maintain relationships to ensure customer satisfaction.
The Manager of Marketing Data Science will spearhead initiatives in data utilization, predictive modeling, and machine learning to enhance marketing strategies and optimize performance for Dow Jones' Enterprise clients. This role involves collaborating with technology and marketing teams to establish robust data infrastructures and ensure data governance, ultimately driving actionable insights and improving customer retention.
The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.
The Control Systems Analyst will manage the lifecycle of Building Management Systems, Electrical Power Monitoring Systems, and Alarm Management platforms, ensuring compliance with operational standards and industry regulations. Responsibilities include developing product strategies, collaborating with engineering teams, managing product releases, and providing technical training.
The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.
The Senior Marketing Data Analyst will analyze customer acquisition, retention, and market trend data to provide insights and reporting solutions. Responsibilities include building dashboards, managing the martech stack, conducting statistical modeling, and collaborating with various teams to optimize marketing strategies.
The Lead Data Analyst will manage a small team while collaborating with Product and Engineering teams to create scalable reporting, analyze A/B tests, and develop revenue dashboards. Responsibilities include providing insights to drive revenue for a network of creators and handling multiple projects with attention to detail.
The Senior Manager, Commercial Analytics will analyze products, markets, and competition while collaborating with cross-functional teams. Responsibilities include designing key analyses, sourcing data, and managing projects to ensure insightful recommendations for brand and sales strategy.
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