Top Data & Analytics Jobs in New York City, NY
The Senior Data Analyst will analyze data to create reports that support business strategies, working with stakeholders and teams to provide insights and actionable recommendations. Responsibilities include data extraction, analysis, and validation to inform business decisions and improve operations.
The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.
As a Workday Integrations Analyst II at Shutterstock, you will provide technical support for Workday integrations across financial, human resources, and payroll systems. Responsibilities include troubleshooting system integrations, testing enhancements, and collaborating with IT and HR to maintain data quality and improve integration processes.
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Lead data conversion projects ensuring data integrity, accuracy, and accessibility. Collaborate with team and customers for requirements gathering, data mapping, and cleansing. Provide technical support and guidance to customers during data conversion process. Partner with Data Science team to improve processes and accuracy. Deliver timely response to customers and team related to data migration tasks.
The Data Analytics Engineer is responsible for designing and maintaining data pipelines, models, dashboards, and reports to facilitate data-driven decisions. They will work with various stakeholders to understand data needs and ensure reliable data solutions.
The Security Analyst will enhance the organization's cybersecurity posture by monitoring security incidents, conducting assessments, implementing security measures, and collaborating with teams to address security issues. They will also participate in incident response and help develop security policies and training programs.
As a Marketing Science Analyst, you will collect and analyze consumer data, market trends, and campaign performance using proprietary tools. You will develop statistical models, create insight dashboards, and collaborate to present findings that support decision-making and improve business outcomes.
The Compensation Analyst will support the Compensation Team in building data models and analyses to enhance compensation planning. Responsibilities include developing tools for program delivery, researching market trends, conducting performance analyses, and processing inquiries related to job and location changes.
As a Data Engineer, you will design and manage data architecture, optimize data pipelines, and ensure data quality while collaborating with product and data teams to meet internal and external data needs.
As a Low-Latency Rust Data Engineer, you will develop and maintain high-performance data pipelines, integrate exchange data, and support trading teams with efficient data architecture in a fast-paced trading environment.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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