Top AdTech Data & Analytics Jobs in New York City, NY

Manage Business Analytics at Beauty Co-Lab, delivering actionable insights through analytics, collaborating on media plans, and mentoring teams.

As a Senior Data Analyst at ShopMy, you'll improve data foundation, design data models, conduct analyses, and partner with Product and Engineering to ensure data integrity and performance.

Lead measurement and analytics programs for media planning and investment. Develop measurement plans, manage dashboards and brand health research, coordinate with external partners, deliver insights and recommendations, and maintain client communications and timelines.

The Data Engineer will build reporting solutions, integrate data sources, streamline processes, and ensure data integrity through collaboration with various teams.

The Lead Staff Business Intelligence Analyst drives data-driven decision-making across various teams, develops insights capabilities, and manages BI teams while employing advanced analytics techniques.

The Senior Analyst will analyze and transform complex datasets from various sources into actionable insights for performance strategy, focusing on healthcare clients. Responsibilities include performance analysis, data integration, and storytelling for strategic decision-making.

The Senior Specialist will develop measurement frameworks, implement tracking strategies using Google Tag Manager, analyze web performance with GA4, and design dashboards to provide actionable insights into digital experiences.

Support ad sales with audience analytics and research using Nielsen/MRI and syndicated tools; develop custom studies, translate data into strategic narratives, collaborate with sales, marketing, and data teams to inform local and national campaigns.

The Sr. Data Quality Engineer will build data validation frameworks, automate data quality checks, monitor pipeline health, and collaborate with teams to ensure reliable data for client analytics.

Lead analytics and operations work to ensure data trustworthiness, define standards and acceptance criteria, investigate large datasets for quality and downstream impacts, build automated workflows (including AI-assisted tools), translate findings into narratives for stakeholders and clients, and partner with engineering and product teams to close data reliability gaps and mentor junior analysts.