Senior BI Engineer - Data-Driven Revenue Insights

Snap

Los Angeles (CA)

On-site

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Snap Inc is seeking a Senior Business Intelligence Engineer, SMC to join Team Snapchat. You will drive data-driven decisions by collating data from multiple sources and telling a clear data story.

Build dashboards to optimize advertiser performance and support product development with insights across cross-functional teams. You will partner with account management and product teams, distill complex analytics for diverse audiences, and influence strategic actions with data-driven recommendations.

Qualifications

  • Bachelor's degree in computer science/economics/mathematics or equivalent preferred.
  • 5+ years experience in quantitative analysis and research.
  • Proficiency in SQL and python/R for analysis and data visualization.

Responsibilities

  • Understand business challenges and enable data-driven decisions by collating data from multiple sources.
  • Identify performance trends across campaigns and provide actionable optimization recommendations.
  • Build and maintain dashboards and reports to help advertisers understand performance and product development.
  • Partner with cross-functional teams to define measurement agendas and provide insights for products in development.
  • Distill complex analytical concepts for broad audiences and influence decision making with data storytelling.

Skills

SQL
Python/R
Quantitative analysis

Education

Bachelor's degree in CS/Economics/Math

Job description

Snap Inc is seeking a Senior Business Intelligence Engineer, SMC to join Team Snapchat. You will drive data-driven decisions by collating data from multiple sources and telling a clear data story.

Build dashboards to optimize advertiser performance and support product development with insights across cross-functional teams. You will partner with account management and product teams, distill complex analytics for diverse audiences, and influence strategic actions with data-driven recommendations.

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