Lead Data Analyst
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LiftoffAdTech, mobile advertising
This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA.Full-TimeLead
SalarySF Bay Area, Los Angeles/Orange County, NYC, Seattle: $165,000 - $195,000; Olympia, Austin, San Diego, Santa Barbara, Boston: $152,000 - $179,000; All other cities and towns in our approved states: $142,000 - $167,000
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Job Details
- Experience
- 8+ years of experience in data analytics, consulting, or business analytics roles
- Required Skills
- SQLSnowflakeTableauA/B testingBigQueryRedshiftLooker
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.
- Experience in high-tech or AdTech is preferred.
- Expertise writing complex, performance-optimized SQL on massive datasets.
- Experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Trino.
- Knowledge of statistical inference, A/B test design, causal reasoning, confidence intervals, statistical power, and noisy experiment failure modes.
- Proficiency with Looker, Tableau, or similar BI tools.
- Ability to structure ambiguous business problems into analyses and actionable recommendations.
- Ability to connect technical findings to revenue, margin, and partner impact.
- Strong written and verbal skills, including the ability to tailor technical concepts to engineering and C-level audiences.
- Consulting-style presentation skills, including building and defending a recommendation and handling pushback.
- Ability to mentor others, lead cross-functional projects, and drive organizational change through data insights.
- Attend in-person team gatherings at least once per quarter.
Responsibilities
- Analyze complex, ambiguous business and technical questions and influence roadmap and operational decisions.
- Write and optimize complex SQL queries on large-scale datasets and develop reproducible analytics workflows.
- Conduct root-cause analysis and triage issues involving product performance and business KPIs.
- Build and automate dashboards, ad-hoc analysis tools, and reporting pipelines using SQL and Looker and/or Tableau.
- Translate technical concepts such as ML model changes, SDK upgrades, and auction mechanics into business impact analysis.
- Lead projects from ideation and scoping through technical execution and operational rollout.
- Mentor analysts on technical practices, business context, and communication.
- Partner with Engineering, Product, Data Science, and Finance on cross-functional initiatives.
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