Top Mid Level Data & Analytics Jobs in New York City, NY
The Data Analyst will develop and scale engagement data to help measure user behavior across various streaming services. Responsibilities include metric design, creating a single source of truth for data, partnering with business stakeholders, and supporting large-scale reporting with data visualization tools.
The Senior Data Analyst will own projects from end to end, gathering and analyzing data, defining KPIs, and creating tools for data-driven decision making. Responsibilities include evaluating user behavior using various analytical methods and providing insights that drive strategy and process improvements.
As a Machine Learning Infra Engineer, you'll design and implement scalable MLOps pipelines, manage monorepos, develop monitoring frameworks, and collaborate with data scientists to enhance the data science platform and streamline model deployment processes.
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The Senior Analyst will enhance fraud risk management within Navan, focusing on fraud detection and prevention across various payment channels. Responsibilities include conducting analytical projects, leading fraud analytics, generating queries to identify fraud patterns, and collaborating with stakeholders to reduce fraud exposure.
As a Senior Product Associate, you will leverage expertise in product development and optimization through user research, collaborate with cross-functional teams, and shape innovative financial products. Your role includes analyzing product metrics, writing requirements, and working closely with Data Scientists and ML Engineers to deliver intelligent personalization solutions.
The Clinical Scientist Manager will perform clinical data review to ensure data integrity and quality for Late-Stage Oncology trials. Responsibilities include data oversight, analyzing safety profiles, supporting clinical teams, and adhering to regulatory guidelines. Requires effective communication and problem-solving skills while collaborating with diverse teams.
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The Client Operations Analyst will support the operations of the department by managing resource planning, optimizing processes, and handling data analytics. Responsibilities include project resourcing, capacity planning using Salesforce data, documentation and training, monitoring KPIs, and collaborating with various teams for operational improvements.
As a Senior Associate in the Financial Crimes Unit, you will lead end-to-end fraud transformation initiatives, develop client solutions, analyze complex problems, and mentor junior team members while maintaining high standards in deliverables and fostering client relationships.
As a Senior Associate Data Scientist, you'll develop insights from credit bureau data, partner with cross-functional teams, build and evaluate machine learning models using advanced technologies, and present findings to senior leadership while improving production infrastructure.
The Data Analyst in Customer Operations will design analyses and dashboards, identify trends for operational improvements, and work closely with the Customer Operations Senior Leadership team to enhance efficiency and customer experience. Responsibilities include creating reports and metrics, influencing data-driven decisions, and monitoring ETLs for reliable datasets.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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