Senior Business Intelligence Engineer

Snap Inc.

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Los Angeles, CAPalo Alto, CA
Salary
$130,000–$196,000 / yr
Posted
8 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $163k
$120k most similar roles pay here $226k

This role pays less than 57% of similar roles. Most pay $149,500–$214,000 — the shaded band above. At the midpoint, this role pays about $163k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 91 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 80 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Senior Business Intelligence Engineer

The Senior Business Intelligence Engineer joins Team Snapchat to translate complex data into actionable insights for leadership and cross-functional partners. This role involves identifying performance trends across auction campaigns, building and maintaining dashboards to optimize advertiser performance, and developing measurement strategies for products in alpha or beta stages. The engineer will distill complicated analytical concepts into coherent stories to influence decision-making and provide real-time analysis to support account management goals. To succeed, the candidate must possess a strong analytical mindset and proficiency in SQL and python or R for data visualization and analysis. The role focuses on solving business challenges by analyzing large datasets to drive revenue, improve product development through a client-centric lens, and provide evidence-based recommendations regarding vertical trends and campaign optimizations within the advertising ecosystem.

What you'll do

  • Analyze and combine data from multiple sources to provide actionable insights for leadership decision-making.
  • Identify performance trends across auction campaigns to provide optimization recommendations and evangelize best practices.
  • Build and maintain dashboards and reports to optimize advertiser performance and product development.
  • Translate complex analytical concepts into clear, compelling stories for both technical and non-technical audiences.
  • Proactively identify and lead projects that impact revenue by defining scope and proposing actionable plans.
  • Provide real-time analysis for auction campaigns to drive data-driven upsell recommendations with the Account Management team.
  • Act as a thought leader by identifying industry trends to strengthen Snap’s in-market pitch.
  • Partner with cross-functional teams to develop measurement strategies and provide feedback on tools in development.

What we're looking for

  • Bachelor’s degree in computer science, economics, mathematics, or equivalent (preferred).
  • 5+ years of experience in quantitative analysis and research.
  • Proficiency in SQL and Python or R for analysis and data visualization.
  • Ability to design technical data-based solutions that are implementable, efficient, and scalable (preferred).
  • Experience performing analysis on big data sets to provide actionable insights (preferred).
  • Ability to interpret complex data signals and present them to both technical and non-technical audiences (preferred).
  • Data-driven and analytical mindset with strong attention to detail (preferred).
  • Ability to work in an agile, dynamic environment as both an individual and a team player (preferred).

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