Lead Data Analyst

Liftoff•United States (Remote), CA

2d•$142,000 - $195,000•Remote

About The Position

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 be a technical and strategic thought leader, defining analytics best practices and mentoring analysts on technical rigor, problem-solving, and strategic insight development. The role calls for technical depth, business acumen, and leadership to drive impact across multiple teams. The role is eligible for full-time remote work in specified states. Liftoff is a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Employees are expected to attend in-person gatherings at least once per quarter. The compensation package includes equity and health, vision, and dental benefits associated with the employee's country of residence. Base compensation varies by location and experience.

Requirements

B.A./B.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 such as BigQuery, Snowflake, Redshift, or Trino.
Solid grounding in statistical inference, A/B test design, and causal reasoning, including confidence intervals, statistical power, and failure modes of noisy experiments.
Proficiency with Looker, Tableau, or similar BI tools.
Ability to break down ambiguous business problems into structured analyses that lead to actionable recommendations.
Ability to connect technical findings to revenue, margin, and partner impact.
Strong written and verbal communication skills, including the ability to tailor technical concepts to audiences from engineering to C-level leadership.
Consulting-style structured presentation skills, including building a narrative, defending recommendations, and handling pushback.
Ability to mentor others, lead cross-functional projects, and drive organizational change through data insights.

Responsibilities

Drive analysis and insight generation on highly complex, ambiguous business and technical questions, influencing roadmap and operational decisions at a senior level.
Write and optimize complex SQL queries for large-scale datasets and develop 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 technical concepts, such as ML model changes, SDK upgrades, and auction mechanics, into business impact analysis for Commercial teams and leadership.
Lead transformational projects from ideation and scoping through technical execution and operational rollout.
Mentor analysts on technical best practices, business context, and effective communication.
Partner with Engineering, Product, Data Science, and Finance teams to advance initiatives.