Remote Data Jobs · Data Visualization

The Data and Analytics Engineer Intern will assist in designing, building, and testing data platforms and analytics solutions to generate actionable insights for our customers. The intern will learn how to break down complex data problems and solve them by designing simplified, achievable solutions, and how organizations can leverage data to gain a compettitive advantage by extracting patterns from large datasets.

Looking for a Data Analyst to support our growing work in campaign measurement, audience analytics, and programmatic operations. You’ll play a key role in executing uplift and attribution studies, supporting client reporting, and helping the Programmatic Account Management team ensure smooth campaign delivery and optimization. This is a hands-on role ideal for someone who loves data storytelling, is comfortable working with campaign data, and wants to grow in the intersection of data, media, and programmatic advertising.

Responsible for developing AI and ML solutions to drive improved business performance and efficiency across domains, you will lead end-to-end AI/ML projects from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring. You will dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large complex data sets.

The Parking Planning and Policy Unit seeks a data-oriented professional with ArcGIS familiarity to support curb management in NYC. The candidate will manage datasets, perform data analysis, and improve data-related processes, including research, data mining, database maintenance, and contributing to ongoing efforts. Duties include updating GIS datasets, performing operational and financial analyses, facilitating cross-division data processes, and building divisional tools. The candidate will cultivate professional development and effectively communicate with stakeholders.

You will oversee the entire lifecycle of data products, from ideation and development to deployment and optimization, supporting the consolidation of corporate data, systems, and processes on a global scale. This role requires technical expertise, strategic thinking, and leadership skills to drive the successful execution of data-driven initiatives.