Snap
Lead Business Intelligence Engineer
$162K–$284K
Los Angeles, California · Full-time · Posted Oct 15, 2026
- Experience
- 6+ years in quantitative analysis and research.
- Education
- Bachelor’s degree in computer science/economics/mathematics or equivalent preferred.
About the job
Analyzes sales, advertiser, and campaign data to identify revenue growth opportunities, inform business decisions, and guide client and product optimization.
What you'll do
- Analyze data across sources and share actionable insights, reports, and recommendations with sales, leadership, and clients.
- Identify campaign and category performance trends, recommend optimizations, and build and maintain dashboards and reports.
- Partner with cross-functional teams on measurement strategies, product feedback, and revenue growth initiatives.
What they ask for
- 6+ years experience in quantitative analysis and research.
- Proficiency in sql and python/R for analysis and data visualization.
Nice to have
- Bachelor’s degree in computer science/economics/mathematics or equivalent preferred.
- Experience analyzing big data sets and producing actionable insights.
Pay
$190,000-$284,000 annually (USD, base salary); $181,000-$270,000 annually (USD, base salary); $162,000-$241,000 annually (USD, base salary)
Tools
sql, python, R
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