Top Analytics Jobs in New York City, NY
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The Risk Operations Analyst will enhance Rho’s risk management framework by ensuring security and compliance through collaboration with teams, conducting audits, and managing vendor due diligence processes. This role involves maintaining risk policies and fostering a culture of compliance and security throughout the organization.
The Implementation Analyst will design and configure the DealCloud platform to meet client business requirements, manage multiple client implementations, and analyze client data. Responsibilities include gathering requirements, configuring the platform, and providing consultative support during implementations.
The Data Analyst will serve as a primary contact between the business and IT reporting group, develop reporting specifications, analyze data, and provide support for immigration petitions. Responsibilities include monitoring report progress, creating process guides, and identifying solutions for data bottlenecks.
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The Head of Portfolio Risk Analytics will lead the team in developing and overseeing the portfolio risk analytics and monitoring frameworks, focusing on risk assessment, performance analysis, and compliance with regulations in consumer finance. Responsibilities include designing risk appetite frameworks, collaborating across functions, and implementing stress testing and sensitivity analysis.
The Head of Data & Analytics will own the data stack, drive insights, and partner with product, engineering, and operations teams. Responsibilities include developing analytics capabilities, building dashboards, owning the data science roadmap, and ensuring data-driven decision-making across the organization.
The Logistics Data Entry Coordinator is responsible for accurately entering and managing data related to factory production, shipping, and inventory. This role involves processing shipping documents, verifying data accuracy, and coordinating with various teams to ensure timely vendor payments and product tracking.
As a Data Visualization Developer, you will design and develop data visualizations that enhance user engagement and communicate key insights. You will collaborate with engineering, data, and product design teams to create compelling visual narratives, optimize visualization tools, and ensure performance across platforms.
The role involves supporting the Analytics & Product team at Live Nation by enhancing data products, debugging SQL queries, exploring trends within datasets, and participating in product design. The candidate will help analyze data to improve brand campaigns and ensure data quality for various business solutions.
The Head of Data will lead data-driven decision-making, oversee product data science and analytics, and collaborate closely with data engineers and scientists to enhance monetization, engagement, and retention. This role emphasizes hands-on involvement in problem-solving within a modern data stack, ensuring a world-class learning experience for customers.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
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