Top Remote Data & Analytics Jobs in NYC, NY
The Associate Compliance Analyst will support the compliance team by identifying risks, protecting the company's reputation, and fostering ethical behavior. This role involves gaining experience in compliance practices, working in a dynamic environment, and learning from experienced professionals.
The Senior Data Scientist at VideoAmp will develop and implement machine learning algorithms, optimize statistical models, and support data-driven strategies in advertising technology. Responsibilities include analyzing datasets, communicating insights, ensuring data accuracy, and collaborating with engineering teams for model integration. A focus on statistical modeling and machine learning is essential.
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The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features in Iterable's platform. Responsibilities include collaborating with cross-functional teams, developing machine learning pipelines, and evaluating algorithm performance using diverse datasets.
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The Cyber Analyst role focuses on delivering incident investigation and response services, including digital evidence collection and analysis, developing incident timelines, identifying root causes, and supporting incident recovery and reporting efforts. Analysts work directly with insured clients to enhance their cyber resilience and mitigate future risks while requiring strong communication skills and hands-on cybersecurity experience.
As a Principal Data Analyst at Flex, you will identify trends and insights from various data sources to influence business strategy. Responsibilities include creating dashboards, collaborating with different teams, and ensuring data quality while supporting key analytics projects across the company.
The Financial Systems and Data Analytics Lead will design and implement systems for financial data analytics while collaborating with various teams to automate accounting processes, enhance reporting, and support company growth in preparation for an IPO.
The Operations & Analytics Manager will drive operational efficiency by developing strategic plans, managing resources, conducting data analytics, and implementing risk management strategies. This role requires cross-functional collaboration with various teams, ensuring alignment in initiatives that support ecosystem growth and operational support.
The Manager of Data Operations will oversee data delivery and streamline operations using modern tools, ensuring data quality while managing workflows with the engineering team. This role involves creating data models, optimizing processes, and leading the growth of the Data Operations Strategy team.
The Data Analyst will support the Head of Intelligence in product strategy and growth, analyzing audience insights and trends to develop actionable messaging strategies. They will collaborate with internal teams and communicate findings through polished presentations, focusing on data visualization and storytelling.
As a Technical Product Manager at Stack Overflow, you will lead initiatives within the Data Team, focusing on leveraging extensive data resources to enhance developer experiences. Responsibilities include collaborating with cross-functional teams, improving search performance through machine learning, and contributing to data product roadmaps.
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