Top Hybrid Senior Level Data & Analytics Jobs in New York City, NY
The Director of Oncology Early Stage Clinical Scientist leads the development and coordination of early-stage oncology clinical studies, ensuring innovative designs and high-quality execution. Responsibilities include protocol development, data analysis, and collaboration with internal and external partners to meet key development milestones.
As a Senior Clinical Data Scientist, you will lead data management for clinical trials, ensuring accurate and timely data reporting. You will guide teams, manage projects, establish data management plans, and collaborate with stakeholders to enhance processes and support operational excellence.
The SAP SAC FP&A Lead Analyst will support the SAP Analytics Cloud Financial planning system, leading maintenance and continuous improvement initiatives. The role involves collaborating closely with FP&A partners, managing SAP critical areas, and enhancing financial transformation projects.
As a Risk Data Analytics Manager, you will develop innovative data visualizations and provide insights for risk oversight, collaborating with senior leadership. Your responsibilities include conducting quantitative analyses, maintaining datasets, ensuring data quality, and continuously improving analytics capabilities to address business needs.
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The Sr. Growth Analytics Analyst at GoodRx will focus on supporting the marketing team by building reporting dashboards, deriving insights from data, and developing measurement models. The role involves campaign reporting, defining metrics for success, and collaborating across various teams to optimize strategies aimed at engaging healthcare professionals.
The Customer Engagement Analyst will analyze data to identify trends and problems, partner with various teams to enhance customer experience, ensure compliance with corporate initiatives, and document issues affecting the customer journey to improve service delivery.
Apply sophisticated machine learning methods to tasks like natural language processing, speech analytics, and recommendation systems. Collaborate with multiple partner teams to deploy solutions into production and drive firm-wide initiatives by developing large-scale frameworks for machine learning models.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
The Customer Engagement Analyst is responsible for analyzing data to identify trends, problems, and improvement opportunities in customer experience processes. They work with various teams to ensure high installation completion rates and are tasked with monitoring KPIs and recommending standardization across sales processes.
Lead a team to develop and optimize machine learning solutions for Snap's functionalities. Collaborate across teams to integrate new signals, manage technical architecture, and drive rapid iteration through the creation of robust infrastructure. Evaluate technical decisions via A/B testing and conduct reviews to maintain excellence.
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As a Senior Data Engineer, you will enhance Formation Bio's data infrastructure by building data pipelines and tools for strategic drug development decisions. You will collaborate with cross-functional teams, ensure the performance of data platforms, and drive innovation through software development and emerging trends.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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