Lead Data Analyst
New
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JobgetherAdvertising technology
Full-time remote work available in approved U.S. states: California, Colorado, Idaho, Illinois, Florida, Georgia, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, Nevada, New York, Oregon, Pennsylvania, Texas, Utah, and Washington.Full-TimeLead
SalaryCompetitive annual base salary, determined by location and experience: San Francisco Bay Area, Los Angeles/Orange County, New York City, and Seattle: $165,000–$195,000. Olympia, Austin, San Diego, Santa Barbara, and Boston: $152,000–$179,000. Other cities and towns within approved states: $142,000–$167,000.
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Job Details
- Experience
- At least 8 years of experience in data analytics, consulting, or business analytics.
- Required Skills
- SQLSnowflakeTableauA/B testingBigQueryRedshiftLooker
Requirements
- Bachelor’s degree in Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related discipline.
- At least 8 years of experience in data analytics, consulting, or business analytics; high-tech or advertising technology experience is preferred.
- Advanced SQL expertise, including writing and optimizing complex queries against massive datasets.
- Experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Trino.
- Strong understanding of statistical inference, A/B testing, and causal reasoning, including confidence intervals, statistical power, and sources of experimental noise.
- Proficiency with Looker, Tableau, or comparable business intelligence and data visualization tools.
- Ability to structure ambiguous business challenges into rigorous analyses and practical recommendations.
- Commercial acumen to connect technical insights to revenue, margins, and partner outcomes.
- Written and verbal communication skills, including adapting technical concepts for engineering teams through C-level executives.
- Presentation and stakeholder management capabilities, including developing and defending recommendations.
- Demonstrated leadership through mentoring, cross-functional project management, and data-driven organizational change.
Responsibilities
- Lead analysis of complex, ambiguous business and technical questions to inform strategic roadmaps and operational decisions.
- Develop, write, and optimize sophisticated SQL queries across large-scale datasets, and build reproducible analytical workflows.
- Investigate root causes and troubleshoot product performance, technical systems, and business KPI issues.
- Build and automate dashboards, ad hoc analytical tools, and internal reporting pipelines using SQL and BI platforms.
- Translate technical developments, including machine learning model changes, SDK upgrades, and auction mechanics, into business impact assessments.
- Lead transformational projects from ideation and scoping through technical execution and operational rollout.
- Mentor analysts on technical excellence, business context, structured problem-solving, and communication.
- Collaborate with Engineering, Product, Data Science, Finance, and Commercial teams on cross-functional initiatives.
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