Top Data & Analytics Jobs in New York City, NY
The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.
As a Senior GTM Data Analyst, you will analyze complex datasets to provide actionable insights for the Go-to-Market teams, develop predictive models for revenue outcomes, and utilize various data visualization tools in collaboration with cross-functional stakeholders.
As a Business Intelligence Specialist for the Risk Enablement team, you will analyze data to identify and mitigate risks through actionable insights. Responsibilities include preparing detailed reports, simplifying operational dashboards, collaborating across departments, and conducting ad hoc analyses to support risk management efforts.
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As a Staff Analyst in Growth Analytics, you will drive insights and data infrastructure for borrower acquisition and retention. This involves collaborating with various teams to set growth strategies, using analytics tools to assess user behavior, conducting quantitative analyses, and mentoring team analysts.
The Director of Data Product Development will lead the design and implementation of data solutions within Cohere Health, focusing on enterprise data management, data quality, and governance. Responsibilities include collaborating with cross-functional teams to develop scalable data architectures, enhancing data usability, and driving the adoption of data-driven decision-making processes.
As a Senior Data Analyst at Cohere Health, you will validate and clean data, ensuring its readiness for reporting and analytics. You will collaborate with engineering, product, and business intelligence teams to monitor ETL processes, troubleshoot issues, and enhance data integrity. Responsibilities include maintaining quality checks, developing reports, and tracking data issues to streamline processes and support healthcare provider workflows.
The Sr. Business Systems Analyst will partner with Procure-to-Pay stakeholders to define business process requirements, lead finance application solution design, and refine IT processes. The role involves working on KPIs, supporting finance systems strategy, and delivering training on finance tools.
The Data Protection and eDiscovery Infrastructure Manager will lead the eDiscovery process, manage data protection policies, oversee Windows servers and applications, and collaborate with legal teams to ensure compliance with data regulations. Responsibilities include monitoring data exposure, conducting risk assessments, providing training, and acting as a subject matter expert.
The Credit Analytics Manager will develop and optimize the cash advance product, implement risk models, collaborate with finance on credit policies, and work with product teams to launch features. This role requires a passion for leveraging data to fuel growth and improve customer well-being, while leading various credit and product testing initiatives.
Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.
As a Business Systems Analyst Consultant, you will provide solutions for IT and business management, analyze client requirements, enhance system productivity, and offer process improvement consulting. The role demands expertise in evaluating and configuring cost-effective systems that meet business needs.
As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.
As a Staff Applied Scientist at Samsara, you will lead the design and implementation of AI product initiatives while working with petabyte-scale data. Your role involves developing both tactical and strategic AI solutions, collaborating across business units, and staying updated with industry research.
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