Top Data & Analytics Jobs in New York City, NY
The Data Engineer will design, implement, and maintain the data infrastructure for analytics and business intelligence at Endpoint. Responsibilities include developing ETL pipelines, managing data warehouses, ensuring data quality, and collaborating with cross-functional teams to optimize data workflows and support data-driven decision-making.
The IT Corporate Technology Systems Analyst supports Zuora Billing & Revenue software, focusing on technical support, issue troubleshooting, and end-user assistance. Responsibilities include configuration and maintenance based on business needs, coordinating with project managers and system users, testing systems, and managing urgent issues. The role also involves learning DFIN's billing processes and engaging in Zuora's online community for continuous improvement.
The Solutions Architect at CDW specializes in Microsoft Data and AI solutions, engaging directly with clients to understand their business needs, creating technical solutions, and overseeing the delivery process. This role emphasizes presales support, document preparation, sales planning, partner relationship management, and the development of intellectual property
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As a Senior Business Operations Analyst, you'll support revenue growth and customer retention through data management, process development, and reporting, while collaborating with various teams to maintain quality operations and provide insights to leadership.
The Lead Sales Compensation Analyst at Motive will manage day-to-day sales commissions processes, provide resolution for inquiries, validate data through analysis, and support system updates while ensuring compliance and process improvement.
The Senior Analytics Engineer will work with stakeholders to address data challenges, conduct exploratory analysis, and improve product features based on user feedback. They will also stay updated on analytics technologies to drive business value.
The Tech Support Analyst at CLEAResult will provide Tier 1 and Tier 2 troubleshooting and customer service, assisting customers and partners with their technology-related queries and issues. The role involves documenting issues, offering user instructions, escalating complex problems, and training junior staff.
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As a Senior Data Scientist on the Rider Recommendations team at Lyft, you will develop advanced machine learning models to enhance rider experience, optimize recommendations, and drive user satisfaction. Collaborating with cross-functional teams, you will work on problem framing, exploratory data analysis, and experimentation methodologies to improve the platform's core services.
The role focuses on enhancing client engagement and automating business processes by collaborating with partners. Responsibilities include developing Dash applications, designing relational databases in Impala, managing ETL processes, and employing agile development practices to drive cost savings and regulatory compliance.
The Data Scientist will translate business goals into effective data solutions, manage end-to-end project processes including development, testing, deployment, and optimization, and collaborate with cross-functional teams to drive client value delivery.
The Data Analyst will work closely with clients to shape their business and data strategy, applying a quantitative framework to analyze business problems through data mining, predictive modeling, and applied statistics. Responsibilities include collaborating with Product Managers and Engineers, presenting analytical findings, and participating in technical design of systems and data pipelines.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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