Top 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 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.
As a Data Analyst at EliseAI, you will work collaboratively across departments to drive data-based decision-making. Your role includes refining questions for data analysis, developing KPIs, collaborating with engineers on data reliability, and providing insights to support business growth and executive decisions.
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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.
As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and implement scalable MLOps pipelines, manage monorepos, enhance system observability, and collaborate with data scientists to improve engineering standards. Your role will involve overseeing platforms, ensuring data lineage, and refining deployment strategies for machine learning models.
As a Senior Analyst in Sales Operations, you will partner with the sales leadership team to shape strategies, manage pipeline processes, develop reporting frameworks, coordinate with vendors, maintain data hygiene, and optimize processes to enhance sales productivity and revenue growth.
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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.
As a Senior Data Analyst at Dandy, you will own high-impact revenue analytics problems, driving insights for customer retention and lifetime value. You will define data language, facilitate decision-making through BI tools, design A/B experiments, and mentor other analysts while collaborating with cross-functional stakeholders.
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.
As a Data Analytics Engineer, you will design and implement features and services for Electronic Trading. Your responsibilities include building data pipelines to manage large datasets for client analytics and regulatory reporting, mentoring teammates, and evolving technical standards within a collaborative team.
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