Showing 10,628 Data Visualization Jobs in New Delhi

Research and analyze maritime industry trends, global shipping patterns, and vessel tracking data to provide context and background information for blog posts and content creation. Build and maintain interactive dashboards and reports using Amazon Quick Sight for internal stakeholders, focusing on m

Hiring for React.js Developer - Bangalore Key Responsibilities: Design and develop user-facing features for a high-performance analytics dashboard using React.j

Your Role Design scalable, secure, and high-performance data science and machine learning architectures to support advanced analytics and AI-driven decision-making. Lead the architecture and implementation of end-to-end analytical solutions, from data acquisition and feature engineering to model dep

About Samsung Ads: Samsung Ads is the advertising division of Samsung Electronics, leveraging the power of data, technology, and scale to deliver seamless brand

Job Summary Lead Data Analyst. Location: Bangalore. 5 days WFO (Client Office). Experience: 7 to 10 years. Requirements Proven leadership experience with a proven track record of managing teams comprising 5 or more members. Candidates should possess current or prior hands-on experience in report aut

Job Description Role & Responsibilities: Analyze and interpret geospatial datasets from multiple sources. Develop interactive dashboards, maps, and visualizatio

The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed,

Legistify is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. C

Facts N Data is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary