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Top Data & Analytics Jobs in New York City, NY
The Analyst will support the Structured Investments Distribution team by managing relationships, analyzing performance metrics, developing presentations, and responding to client needs. This role requires coordinating with senior team members and participating in sales calls while handling various projects and data-driven requests.
As a Senior Data Engineer at Axio, you will collaborate with cross-functional teams to build data products, automate data processing through pipelines, lead the deployment of data science models, and architect data infrastructure to support evolving data products.
The Chief Data Architect will lead data strategy and architecture, ensuring alignment with business goals. Responsibilities include designing data architectures, optimizing data systems, establishing governance policies, managing data architecture projects, and mentoring team members.
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The Senior Analyst, FP&A at Tapestry will oversee monthly close activities, quarterly reforecasting, and annual planning. They will manage financial forecast models, analyze P&L variances, streamline FP&A processes, and support business case analyses while ensuring accurate financial data presentation.
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The Vice President of Data Intelligence Engineering will drive the execution of quarterly deliverables and long-term strategies while developing a world-class data platform. Responsibilities include ensuring data privacy and security, mentoring engineering teams, and collaborating with cross-functional teams to align strategies with company objectives.
As a Senior Manager Analytics for Growth at Brigit, you'll drive data strategies to enhance user engagement and optimize marketing efforts. Responsibilities include developing user acquisition methodologies, collaborating with product teams on growth strategies, managing experiments, and coaching junior team members while reporting on performance metrics to stakeholders.
The Senior Analyst will support analytics and research for U.S. Structured Credit ratings, assist in the development of rating methodologies, manage Python-based rating models, and conduct analytical and market research. Responsibilities also include documentation maintenance, training analysts, and supporting ratings administration.
As a Database SRE at Hudson River Trading, you will design, build, and maintain a distributed database infrastructure using SQL and NoSQL technologies. Responsibilities include optimizing PostgreSQL and MySQL servers, applying infrastructure-as-code tools, and enhancing performance through database metrics and monitoring solutions. The role requires collaboration with various stakeholders to ensure a reliable trading infrastructure.
The Manager, Fraud Analytics oversees fraud monitoring and mitigation by managing fraud controls, analyzing data, and collaborating with teams to propose and implement changes. Responsibilities include managing a team of analysts, designing fraud strategies, monitoring KPIs, and handling vendor relationships while ensuring effective communication with stakeholders.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
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