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Top Data & Analytics Jobs in New York City, NY
The Weather Analyst will conduct applied research within the commodities trading desk, focusing on atmospheric predictability and leveraging data such as gridded, observational, and satellite data. The role requires strong programming skills in Python for data analysis, along with expertise in meteorology and machine learning techniques.
As a Staff Data Scientist at Enigma, you will develop innovative solutions using machine learning and statistics to enhance product data quality. Collaborating with other scientists, engineers, and product managers, your work will focus on translating customer goals into actionable data strategies, ensuring high-quality analysis and model development, and creating repeatable validation methods against ground truth data.
Lead design and development of scalable data architectures for batch and streaming processing. Optimize ETL/ELT processes and manage database performance. Collaborate with teams to ensure data solutions meet business needs and support decision-making. Drive continuous improvement in data engineering workflows and implement MLOps for machine learning models.
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The Senior Manager, Rebate Analytics will manage the rebate program for Rightway’s PBM clients, ensuring compliance with reporting requirements and developing forecasting models. Responsibilities include analyzing rebate data, optimizing client opportunities, collaborating with teams for effective communication, and providing performance reports to senior management.
The Operations Analyst will work closely with Finance and Credit teams to manage deal processes, resolve transaction discrepancies, prepare contracts, and support month-end activities including reporting and audits. The role requires strong collaboration across departments and a high degree of accuracy in transaction management.
The Lead Data Scientist will collaborate with engineering, product, and analytics teams to optimize and scale Stellar's incentive strategies for healthcare providers, ensuring data integrity and analysis for impactful decision-making. This role requires hands-on data engineering skills and the ability to drive significant improvements in healthcare outcomes.
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The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features in Iterable's platform. Responsibilities include collaborating with cross-functional teams, developing machine learning pipelines, and evaluating algorithm performance using diverse datasets.
As the Data & Analytics Lead, you'll drive business intelligence by leading the development of reporting and KPI monitoring. You'll analyze business needs, provide insights, support strategic planning through data collaboration, and enhance teams' data literacy across the organization.
As a Data Scientist at Airtable, you will analyze user data to enhance insights for the Marketing team and drive impactful analytics. Key responsibilities include collaborating with various teams, producing datasets, developing data models, creating dashboards, and fostering a data-driven culture throughout the organization.
The Financial Systems and Data Analytics Lead will design and implement systems for financial data analytics while collaborating with various teams to automate accounting processes, enhance reporting, and support company growth in preparation for an IPO.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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