Top Analysis Reporting Jobs in New York City, NY
As a Senior Marketing Data Scientist at Zocdoc, you will analyze performance data from various marketing channels, forecast marketing initiatives, build scalable solutions, and partner with marketing teams and data engineering to optimize data strategies and inform business decisions.
The Deal Desk Analyst will support the closure of commercial deals, providing deal structuring and pricing support while collaborating with internal teams. Responsibilities include advising the sales team, managing deal queues, and ensuring smooth contract execution, with a strong focus on driving revenue growth.
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As a Data Analyst, you will support patient experience teams by conducting analyses, measuring product performance, and building business intelligence solutions. You will leverage data to inform strategies and guide decision-making across various cross-functional teams, while also communicating insights and recommendations to stakeholders.
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The LME Legal Analyst will review leveraged finance and high yield documentation, produce analyses on distressed scenarios, answer client queries about covenant packages, and use proprietary technology to enhance restructuring databases. The role involves delivering seminars and representing 9fin at industry events.
The Outsourced Chief Investment Office Analyst will support clients by understanding investment plans and working with Senior Portfolio Managers on investment reviews and tactical asset allocations. Responsibilities include business development support, relationship management, and learning the investment platform. Strong analytical skills and the ability to work with cross-functional teams are essential.
The Collateral Eligibility Business Architect VP will drive governance and business integration of J.P. Morgan’s Collateral Eligibility Service, focusing on data management, process improvement, and innovation in collateral efficiency for liquidity and transaction management.
As a Senior Associate Data Scientist, you will analyze data to support Business Banking strategy, develop data-driven solutions, and ensure data quality for decision-making. Responsibilities include statistical analysis, data processing using Python and SQL, and maintaining data integrity within various project phases.
The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.
As a Senior Research Scientist at Kensho, you will develop innovative solutions in Machine Learning and NLP, focusing on complex tasks like long-context QA and document extraction. Collaborate with a team to enhance existing models, create evaluation benchmarks, and engage in academic partnerships, all while utilizing advanced computational resources.
The Credit Analyst will analyze US leveraged loan borrowers, conduct fundamental credit analysis to produce investment ideas, maintain industry dialogues, train junior analysts, and support legal analysts in credit situations.
The Total Rewards Analyst will focus on managing total compensation for corporate employees, supporting various People Operations initiatives, building tools, analyzing data, and improving reward offerings while managing systems and data flows.
The EDI Analyst will monitor and improve EDI systems within the IT team, focusing on supply chain processes such as procure-to-pay and order-to-cash. Responsibilities include developing EDI systems, performing quality control, maintaining documentation, and troubleshooting EDI issues.
The Analyst role in Consulting Services focuses on client engagement for Marketing Solutions, leveraging analytics and quantitative analysis to provide insights. Responsibilities include conducting data investigations, visualizing findings, and helping clients understand data relations to business objectives.
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