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Top Data & Analytics Jobs in New York City, NY
The AI Operations Specialist will evaluate AI-generated text for accuracy and relevance, conduct testing calls, document bugs, collaborate with teams to improve functionalities, and attract top talent. This role focuses on ensuring the quality of AI-driven products in housing and healthcare.
The Senior Data Analyst will analyze complex datasets to provide actionable insights and support strategic initiatives. Responsibilities include querying data, creating reports and dashboards, and collaborating with cross-functional teams to drive decisions based on data analytics.
The Sr. Workforce Management Analyst will oversee scheduling, resource allocation, and capacity planning for the Data Services department. Responsibilities include developing forecasting models, providing leadership reports, optimizing project timelines, and coordinating with various teams to analyze data and forecast demand.
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The Data Specialist will work with the Mission and Engineering Teams to enhance customer support, utilizing open-source intelligence to develop data collection strategies that drive mission success. Responsibilities include bridging team communication, exploring new data methods, and delivering timely project assistance.
Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.
The role requires leading the Credit and Data Science functions for Empower's international operations, developing risk models and credit policies, and launching innovative products to improve customer financial outcomes. The candidate will lead teams to analyze consumer behaviors and tailor solutions for different markets, contributing to business growth in Latin America and South East Asia.
As Credit Analytics Manager, you will optimize cash advance products by refining credit policies, implementing new risk models, and collaborating with product and finance teams. The role involves leading workstreams from concept to execution to drive growth and enhance customer financial well-being.
As a Data Scientist at RunPod, you will develop predictive models to understand user behavior, optimize conversions, forecast revenue, and collaborate with cross-functional teams to deliver data-driven insights that shape business strategy.
As a Data Analyst at RunPod, you will analyze user interaction data to enhance product development and operational efficiency. Your role includes optimizing user engagement, devising retention strategies, monitoring KPIs, collaborating across teams, and presenting insights to management.
The Campaign Analyst role focuses on managing and optimizing digital advertising campaigns through data-driven strategies. Responsibilities include collaborating with teams to enhance audience targeting and data accuracy, analyzing campaign performance, and developing dashboards for insights. The position requires close interaction with clients to align campaign objectives and ensure effective execution.
The Senior Manager of Data Management will lead data operations, manage a team of business and data analysts, and work with stakeholders to implement data governance and automated ETL processes. They will handle data modeling in a big data environment and ensure data accuracy.
The Senior Healthcare Analytics Analyst will conduct complex analyses to drive strategy and enhance product performance. Responsibilities include optimizing auto-decisioning strategies, building reporting solutions, and collaborating on insights with internal teams. The role requires a customer-first mindset and requires delivering high-quality analytical work to improve patient care.
As a Senior Data Engineer at Allstate, you will design, build, and maintain data pipelines and machine learning workflows to support analytics and AI applications. You'll collaborate with teams to integrate data products and ensure quality and governance, while mentoring junior engineers and adopting new technologies to enhance operations.
The Senior Analyst, Product Intelligence will leverage analytical rigor to identify insights that influence product strategy and investment decisions. Responsibilities include prioritizing the product roadmap, measuring success, collaborating on data visualizations, and ensuring data accuracy through SQL and data management practices.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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