Top Data & Analytics Jobs in New York City, NY
As a Data Architect, you will help build and deploy analytics solutions for healthcare providers, transforming raw data into actionable information and designing scalable data models. Your expertise in SQL and cloud technologies will guide customers through complex technology requirements, ensuring high-quality project deliverables.
The Senior Analyst at OpenX will lead performance and revenue reporting efforts for commercial teams, conduct ad-hoc analysis, monitor marketplace health, and design revenue forecasting while collaborating with various teams to provide actionable insights and support key initiatives.
The Data Scientist II at The Trade Desk will design, research, build, and deliver data-focused products, developing models for better bidding opportunities and audience creation. They will lead the creation of solutions leveraging advanced techniques and collaborate closely with engineering throughout the product lifecycle.
The Director of Data Partnerships will manage and develop Measurement partnerships, focusing on the Media Mix Modeling (MMM) program at The Trade Desk. Responsibilities include building executive relationships with MMM providers, supporting product vision, conducting industry research, and educating internal teams. The role requires strategic collaboration across teams to enhance advertising impact and client value.
As a Data Science Intern at The Trade Desk, you will work on meaningful projects related to data products, collaborate with product and engineering teams, and receive mentorship from experienced data scientists. You will leverage machine learning techniques and big data technologies to solve complex challenges.
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As a Data Scientist Intern at Duolingo, you will derive insights from data, apply advanced analytical methods and machine learning, evaluate product experiments, and communicate findings to management. You will work collaboratively in a data-driven culture, enhancing user experiences based on data-driven decision-making.
The GTM Operations Analyst will analyze existing datasets to enhance marketing performance, improve ROI, and support strategic decisions for the GTM team. Responsibilities include building reports, enabling stakeholders, tracking campaign performance, and maintaining data integrity.
As a Money Compliance Data Lead at Robinhood, you will support the Money Compliance team by building and maintaining data dashboards, conducting data analytics for risk awareness, and developing automated data solutions for compliance operations.
As the Vice President of Modern Analytics, you will lead the Analytics department, focusing on client relationships, team mentorship, and strategic direction. You will innovate in analytical approaches and ensure the team's growth and success within a modern marketing context.
The Director of Data Science will lead client engagements by tackling complex marketing challenges using advanced analytics and statistical methods. They will mentor a team of analysts and data scientists, drive growth by pitching new projects, and act as a thought leader in marketing analytics and data science methodologies.
The Director of Data & Media Consulting will lead a team in data-driven marketing strategies, client management, and innovative solutions for marketing challenges. They will oversee data scientists and media strategists, optimizing campaigns and fostering client relationships to achieve desired outcomes. Key responsibilities include developing opportunity analyses and collaborating on media challenges with technical teams.
The Principal Business Analyst will lead the development of analytical products, oversee data infrastructure, and utilize analytics to provide insights. They will manage projects, standardize data practices, and communicate findings to stakeholders, requiring advanced analytical skills and strategic thinking.
As a Sr. Data Scientist, you will design and develop AI-based video analysis products, conduct algorithmic research, optimize algorithms for real-time use, and collaborate with cross-functional teams on AI product roadmaps.
The Quantitative User Research Intern at Robinhood will use quantitative research methods to provide actionable insights based on behavioral data. Responsibilities include designing surveys, conducting data analysis, and collaborating with cross-functional teams to improve product offerings. The intern will engage with user research throughout the product development process to enhance user understanding and product impact.
The Business Intelligence Intern will support data-driven projects, conduct data analysis, and assist in translating business requirements. The role requires strong analytical, problem-solving, and communication skills, and involves collaboration with data teams and business stakeholders.
The role of an Applied Researcher Intern at eBay involves building machine learning models and scalable data processing pipelines, collaborating with engineers and cross-functional teams, conducting experiments on algorithm performance, and implementing AI solutions to enhance user experience in the marketplace.
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As a Data Science Intern, you'll collaborate with product and engineering teams to create analyses and models that drive business impact, design and conduct experiments, and maintain data pipelines for integrity. You will also participate in deep dives into complex business problems while practicing data-driven storytelling to derive actionable insights.
As a Data Analyst at Coinbase, you will improve customer experiences through metrics and analysis, manage an analytic roadmap, identify improvement areas, develop self-service capabilities, and guide code reviews with a focus on statistical rigor.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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