Top Remote Data & Analytics Jobs in NYC, NY
The Manager, Fraud Analytics oversees fraud monitoring and mitigation by managing fraud controls, analyzing data, and collaborating with teams to propose and implement changes. Responsibilities include managing a team of analysts, designing fraud strategies, monitoring KPIs, and handling vendor relationships while ensuring effective communication with stakeholders.
As a Trading Analyst, you will analyze supply and demand data, develop trading tools, and provide feedback to optimize the market for SeatGeek's partners. You will work closely with quantitative analysts and business development, contribute to trading strategies, and conduct industry research to support revenue growth and enhance partner relationships.
The Senior Data Analyst will join SeatGeek's Analytics team to drive insights around seller behavior, analyze large datasets, build data models, and contribute to data pipelines. This role influences product strategies for improving ticket inventory management and enhancing fan experiences at live events.
The Senior Recruiting Data Visualization Analyst at Dropbox will lead the development of Tableau dashboards for HR and Recruiting metrics, partner with stakeholders, analyze data for trends, enhance self-service dashboards, and conduct data literacy training. This role requires strong analytical and communication skills to support data-driven HR strategies.
The People Analytics Manager at Dropbox is responsible for developing HR and Recruiting dashboards, managing a team of developers, and ensuring data quality. The role focuses on translating complex data into actionable insights, collaborating with internal teams, and mentoring staff on data visualization and analysis.
As a Senior Data Engineer, you will develop and maintain scalable data platforms, architect high-volume data pipelines, improve system performance, ensure data privacy compliance, and collaborate with teams for operational efficiencies. You are expected to debug complex issues and share knowledge through documentation and mentoring.
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The Senior Machine Learning Engineer will build scalable machine learning systems, enhance entity resolution algorithms, and develop ML infrastructure. Responsibilities include designing reliable ML solutions and collaborating with cross-functional teams to optimize performance and testability.
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As a Risk Analyst, you will execute company reviews and payroll monitoring, ensuring onboarding and regulatory compliance while escalating potential fraud incidents. Attention to detail and strong communication skills are necessary as you'll work with partners and customers.
The Senior Data Analyst in Finance will partner with the finance team to build and enhance reporting infrastructure, ensuring accurate company-wide metrics. The role involves collaboration with analytics and data teams to integrate data, create dashboards, and provide documentation/support to ensure effective data usage across teams.
Lead the Machine Learning team at OpenX, developing ML products for ad marketplaces. Collaborate with cross-functional teams to set vision and strategy, guide product development, and foster a collaborative team culture.
As a Data Engineering and Analytics Manager at Spark Advisors, you will lead the data function, overseeing the development of a data warehouse, implementing data products, and mentoring your team. You'll work closely with various teams to ensure efficient data processing and provide insights through analytics infrastructures and dashboards.
As a Senior Data Analyst at Vouch, you'll develop data structures and analytical frameworks crucial for insurance design and underwriting. Your role includes working with cross-functional teams to identify data needs, creating dashboards in Mode, and leading data projects to optimize business performance.
The role involves building computer vision models for 3D scans, researching state-of-the-art machine learning methods, working with product and research teams to improve product lines, and implementing best practices for MLOps pipelines, all while working with large datasets.
Top Companies in NYC, NY Hiring Remote Data + Analytics Roles
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