Lead Analytics Engineer

Role Description

We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader. This person will be the go-to analytics expert for advertiser revenue, monetization performance, and growth metrics — trusted by Data Scientists, Analysts, PMs, and Engineering leaders to drive high-impact work end-to-end.

This is a staff-level Individual Contributor role, not a mid-level execution seat. The successful candidate operates as:

• A trusted thought partner to Data Scientists and Product leaders — someone who improves the quality of the question before answering it.
• A technical leader who sets standards for data models, pipelines, and dashboards that others follow.
• A force multiplier who unblocks the team by identifying and fixing root causes across the data stack, not just building what's asked.

Qualifications

• 9+ years of combined experience in Data Analytics, Business Intelligence, or Analytics Engineering roles.
• At least 3+ years at Senior level or above in an analytics-adjacent role at a high-scale tech, ads-tech, marketplace, or fintech company.
• Prior experience as the most senior analytics IC on an embedded team — or a strong case for why they're ready to step into that role now.
• Track record of leading end-to-end analytics initiatives — from ambiguous business question through data model, pipeline, dashboard, and rollout.
• Prior experience partnering directly with US-based Data Science, Product, and Engineering leaders as a full contributor.

Requirements

• Expert-level SQL — deep proficiency with window functions, CTEs, complex joins, query optimization, incremental patterns, skew mitigation, and cost tuning on billion+ row tables.
• Deep hands-on with at least two of: Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, Redshift.
• Advanced Airflow — has architected and operated large DAG ecosystems (50+ production DAGs).
• Data architecture & modeling depth — Kimball, star schema, dimensional modeling, OLAP cubes, wide fact tables, slowly-changing dimensions, semantic layer design.
• ETL / ELT architecture — incremental loads, backfills, idempotency, data quality frameworks, lineage.
• Python for data work — pandas, PySpark, scripting, and light tooling development.
• Deep, hands-on production experience building executive-grade dashboards in Tableau and/or Apache Superset.
• Strong grasp of KPI definition, metric design, funnel analysis, cohort analysis, and A/B testing methodology.
• Native or near-native English (spoken and written) — this is a hard requirement.
• Track record of leading initiatives end-to-end with minimal direction.
• Comfortable pushing back on unclear or misdirected requirements and proposing better approaches.
• Experience mentoring or coaching less-senior analysts and analytics engineers.
• Executive presence — can present analytics work to Director/VP-level stakeholders and defend recommendations.

Benefits

• The expected salary range for this position is $130,000 – $150,000 USD per year, based on experience, skills, and qualifications.