Lead Data Analyst/Lead Analytics Engineer
Staff / Lead Data Analyst / Analytics Engineer — Monetization AnalyticsMonetization Data Science & AnalyticsType: Contract | Location: RemoteTime Zone: US timezone preferred; must overlap full US Pacific business hoursExperience: 9+ years | Level: Staff / Lead / PrincipalAbout the RoleWe are seeking a Staff / Lead Data Analyst / Analytics Engineer to partner with Clients Monetization Data Science & Analytics team.This is a senior IC role for someone who can independently solve complex, ambiguous business problems and lead initiatives across analytics, data engineering, modeling, and visualization.Key ResponsibilitiesPartner with Data Science, Product, and Engineering leaders on monetization and revenue analytics.Define and govern KPIs, metrics, funnels, cohorts, and experiment readouts.Lead analytics projects end-to-end, from business question through data model, pipeline, analysis, and dashboard.Build and optimize production SQL pipelines using Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, or Redshift.Design and operate Airflow DAGs, data models, data cubes, and semantic layers.Own data quality, reconciliation, observability, and pipeline performance.Build executive dashboards using Tableau and/or Superset.Conduct root-cause analysis and independently resolve data discrepancies.Mentor analysts/analytics engineers and raise technical and analytical standards.Required Qualifications9+ years in Data Analytics, BI, Analytics Engineering, or related roles.3+ years at Senior level or above, ideally in high-scale tech, ads-tech, marketplace, fintech, or digital media.Expert SQL and strong large-scale data engineering experience.Hands-on experience with 2+ modern data platforms such as Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, or Redshift.Advanced Airflow or equivalent orchestration experience.Strong data modeling, ETL/ELT, pipeline optimization, and data-quality expertise.Proficiency in Python/PySpark; dbt is preferred.Strong Tableau/Superset experience.Experience with KPI design, experimentation, funnel/cohort analysis, and root-cause analysis.Strong communication, stakeholder management, mentoring, and technical leadership skills.PreferredDigital advertising / monetization experience with revenue, impressions, clicks, CTR, CPM, CPC, CVR, ROAS, attribution, or incrementality.Experience at companies such as Pinterest, Meta, Google, Amazon, Uber, DoorDash, Snap, TikTok, LinkedIn, Airbnb, or Instacart.Experience with metric governance, semantic layers, data catalogs, or analytics platforms.Strong experimentation and statistics background.Ideal CandidateWe are looking for someone who demonstrates ownership, technical judgment, business impact, and leadership — not someone who simply executes tickets.The ideal candidate can take an ambiguous problem, improve the question, build the right data solution, deliver actionable insights, and influence senior stakeholders.