The posting, in Liftoff's own words
archived Oct 29, 2026Liftoff 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.
About this role:
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. You will act as a technical and strategic thought leader, defining best practices for analytics, and mentoring analysts on technical rigor, problem-solving, and strategic insight development. This role demands technical depth, strong business acumen, and leadership skills to drive impact across multiple teams.
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Responsibilities:
Drive analysis and insight generation on highly complex, ambiguous business and technical questions; influence roadmap and operational decisions at a senior level. 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. Translate highly technical concepts (e.g., 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. Mentor other analysts on technical best practices, business context, and effective communication. Partner cross-functionally with Engineering, Product, Data Science, and Finance teams to drive initiatives forward.
Requirements:
B.A./B.S. degree in Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field. 8+ years of experience in , 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). Solid grounding in statistical inference, A/B test design, and causal reasoning; comfortable with confidence intervals, statistical power, and the failure modes of noisy experiments. Proficiency with Looker, Tableau, or similar BI tools. Demonstrated ability to break down ambiguous business problems into structured analyses leading to actionable recommendations. Can connect a technical finding to revenue, margin, and partner impact without being told how. Strong written and verbal skills; able to tailor technical concepts for a range of audiences from engineering to C-level leadership. 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.