Top Data & Analytics Jobs in New York City, NY

The Data & Business Intelligence Analyst at DoseSpot will collect, analyze, and visualize data to deliver actionable insights that aid business decisions. Responsibilities include developing Power BI dashboards, optimizing reporting processes, collaborating with various teams, and supporting strategic initiatives through data-driven analysis.

The Lead Researcher, Customer Insights will manage end-to-end qualitative and UX research projects to support Dow Jones' strategic goals. Responsibilities include designing research approaches, executing studies, delivering insights, and collaborating with cross-functional teams to enhance user experiences and product offerings.

The Trade Analyst at Magic Spoon will manage trade promotion systems, partner with sales to maintain promotional calendars, conduct post-promotion analyses to evaluate ROI, and create reporting on promotional performance, collaborating with finance and planning teams.

The Senior Data Consultant will lead data management efforts for a community violence intervention initiative, working with stakeholders to implement data-driven operational strategies, develop reporting tools, and ensure data governance standards. Key responsibilities include analyzing data for insights, training stakeholders on data interpretation, and driving strategic planning in collaboration with various entities.

The Data Analyst will analyze diverse datasets and machine learning model outputs, ensuring high-quality project deliverables alongside account managers. Responsibilities include data wrangling, delivering insights through storytelling and visualizations, and supporting client objectives. Collaboration with data scientists and account teams is key to achieving project goals.

The Senior Data Scientist will lead the development of AI models for financial applications, focusing on machine learning, NLP, and MLOps. Responsibilities include building AI solutions for trading and risk management, mentoring junior data scientists, and ensuring adherence to Responsible AI principles.

The Data Science Intern will assist in project/product development tasks including data analysis, testing processes, and developing digital tools. The intern will engage in research, apply data science principles, and communicate findings through documentation and reports.