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Liftoff is a leading AI-powered performance marketing platform for mobile app growth. We are hiring a Lead Data Analyst who reports to the VP of Analytics & Operations Supply to solve the most complex data questions in high‑tech AdTech environments.
You will write and optimize massive SQL queries, build dashboards in Looker/Tableau, mentor teammates, and collaborate with Engineering, Product, Data Science, and Finance across remote-friendly U.S. hubs.
Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.
As a Lead Data Analyst, you will report directly to the VP of Analytics & Operations Supply and act as the team's senior individual contributor on the hardest and most ambiguous analytical problems across Liftoff's supply side. Drive analysis and insight generation on highly complex, ambiguous business and technical questions; Write and optimize complex SQL queries for large-scale datasets (billions of rows), developing reproducible analytics workflows.
This role is eligible for full-time remote work in one of our entities: We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.
Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. These gatherings provide essential opportunities for collaboration, communication, and team building.
We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.