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Top Data & Analytics Jobs in New York City, NY
As a Senior Data Engineer, you will develop and maintain scalable data platforms, architect high-volume data pipelines, improve system performance, ensure data privacy compliance, and collaborate with teams for operational efficiencies. You are expected to debug complex issues and share knowledge through documentation and mentoring.
As a Data Business Consultant, you will help clients with data strategy and analytics reporting. Responsibilities include supporting users on analytics tools, translating business requirements into analytical solutions, conducting data analysis, and identifying opportunities for advanced analytics. You will collaborate closely with various teams and utilize tools like Power BI and Python to enhance data processes.
As a Senior Data Analyst at Dandy, you will own high-impact revenue analytics problems, driving insights for customer retention and lifetime value. You will define data language, facilitate decision-making through BI tools, design A/B experiments, and mentor other analysts while collaborating with cross-functional stakeholders.
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The Implementation Data Scientist will integrate Altana’s platforms with customers, create analytical workflows, develop customer-specific value chains, and enhance user experience with Altana’s tools. Responsibilities include overseeing data integration, building prototypes, and communicating with clients to drive insights and improve workflows.
As a Senior Data Engineer at Bombora, you will develop and optimize systems to process billions of interactions daily, identify intent signals, and lead engineering initiatives. Responsibilities include architecting ETL pipelines in Google Cloud Platform, developing microservices, and mentoring junior engineers while working within an Agile environment.
The Senior Machine Learning Engineer at Rokt will design and implement machine learning models to address business challenges. Responsibilities include user targeting, dynamic Ads content generation, and collaborating with product teams to architect AI-driven solutions while ensuring high-quality code and mentoring team members.
As a Business Analyst (Revenue Strategy and Analytics), you will analyze various data streams to assist strategic planning and boost operational efficiency across the company. Responsibilities include developing reports, collaborating across teams, problem-solving, presenting insights, ensuring data integrity, and enhancing analytical capabilities.
As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with teams to develop data solutions, optimize data storage, and ensure data integrity and availability. You will leverage technologies like Scala Spark and AWS, mentor junior engineers, and drive best practices for scalable data systems.
As a Senior Data Scientist at Snap Inc, you will analyze data to provide insights that inform business and product decisions. Your role involves collaborating with cross-functional teams, conducting statistical analyses, and presenting findings through visuals and reports to drive product optimizations. You will leverage your expertise in quantitative analysis and machine learning to uncover new product opportunities and improve existing ones.
As a Senior Data Engineer, you will design and improve data infrastructure, build data pipelines for various stakeholders, and collaborate closely with Data Science and Analytics teams to produce valuable business insights and support core products.
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