Senior Lead Analyst - Data Science
Liftoff
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. Conduct root-cause analysis and triage technical issues at the intersection of product performance and business KPIs. Build and automate dashboards, ad-hoc analysis tools, and internal reporting pipelines using SQL, Looker, and/or Tableau. ML model changes, SDK upgrades, auction mechanics) into business impact analysis for Commercial teams and leadership. Lead transformational projects end-to-end, from ideation and scoping through technical execution and operational rollout. Partner cross-functionally with Engineering, Product, Data Science, and Finance teams to drive initiatives forward. S. degree in Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
- 8+ years of experience in data analytics, consulting, or business analytics roles, preferably in high-tech or AdTech.
- Expertise writing complex, performance-optimized SQL on massive datasets; experience with cloud data warehouses (BigQuery, Snowflake, Redshift, Trino).
- Proficiency with Looker, Tableau, or similar BI tools.
- Demonstrated ability to break down ambiguous business problems into structured analyses leading to actionable recommendations.
- Consulting-style structured presentation skills: you can build a narrative, defend a recommendation, and handle pushback in the room.
- Ability to mentor others, lead cross-functional projects, and drive organizational change through data insights.
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