Lead Data Analyst

About the 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.

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 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).
• 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.
• Ability to 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, with consulting-style structured presentation skills.
• Ability to mentor others, lead cross-functional projects, and drive organizational change through data insights.

Travel Expectations

• Employees are expected to attend in-person gatherings (project meetings, regional meetups, company-wide events) at least once per quarter.