Top Data & Analytics Jobs in New York City, NY
Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.
As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.
Lead financial forecasting, budget planning, and reporting on various financial metrics. Collaborate with internal stakeholders and contribute to board and investor communications. Provide financial analysis and support to teams and senior executives. Conduct ad hoc analysis to support business initiatives.
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The Principal Compensation Analyst will lead the Total Rewards Center of Excellence, partnering with HR and business leaders to implement compensation processes. Responsibilities include overseeing executive compensation programs, conducting market analysis, managing equity plans, ensuring compliance, and advising executives on compensation matters, all aimed at enhancing team engagement and well-being.
The Insurance Analyst will track KPIs, analyze insurance trends, support strategic initiatives, manage data integrity, and facilitate communication across teams to ensure profitability in the insurance portfolio.
The Revenue Cycle & Billing System Configuration Analyst at Natera supports insurance billing processes and system configuration, collaborates with cross-functional teams for process improvement, and assists in troubleshooting and training related to revenue cycle management.
The DeFi Research & Growth Analyst will conduct in-depth research on decentralized finance protocols, assess risks, engage with protocol teams, and collaborate with cross-functional teams for product development. The role requires strong knowledge of DeFi, portfolio management, and effective communication skills.
The Data Scientist I role involves developing and monitoring quantitative models for credit and fraud analytics. Responsibilities include consolidating large datasets, performing predictive analytics, supporting machine learning models, advising on trends, and collaborating with teams to implement strategies.
The Senior Analyst, Compliance will support the execution of compliance projects, conduct audits, engage with stakeholders, and help manage regulatory remediation efforts within the financial services sector. Responsibilities include coordinating efforts with internal teams and external consultants, preparing project materials, and driving process improvements.
The Sales Data Analyst will analyze sales data, identify trends, and improve CRM data for better sales strategies. Responsibilities include developing complex Excel spreadsheets, utilizing SQL for data manipulation, and generating reports on sales performance indicators. Collaboration with cross-functional teams is essential for providing actionable insights.
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