Senior Business Intelligence Engineer

About Snap

Role overview

What you will do

• Analyze information from multiple sources and present coherent, data-driven insights to inform business and leadership decisions.
• Identify auction-campaign performance trends, recommend optimization, and share best practices with account management.
• Deliver analysis, reporting, and recommendations to improve client and business outcomes.
• Partner on measurement strategies, analyze alpha and beta products, and provide feedback on data tools under development.
• Translate complex analytical concepts into data stories that influence technical and non-technical audiences.
• Build and maintain dashboards and reports for advertiser performance and product-development decisions.
• Scope revenue-impacting projects and propose actions; provide real-time campaign analysis and data-driven upsell recommendations.
• Share vertical and category trends to inform Snap’s in-market pitch.

Minimum qualifications

• At least 5 years of experience in quantitative analysis and research.
• Proficiency in SQL and Python or R for analysis and data visualization.

Preferred qualifications

• Bachelor’s degree in computer science, economics, mathematics, or equivalent is preferred.
• Analytical mindset, attention to detail, organization, and ability to work in a dynamic environment, independently and collaboratively.
• Ability to translate business problems into implementable, efficient, scalable data solutions.
• Experience analyzing large datasets and producing actionable insights; ability to interpret complex signals and present to varied audiences.
• Arabic-speaking ability is a plus.

Workplace policy

• Snap states its default-together approach expects team members to work in an office four or more days per week.

Benefits

• Benefits include paid parental leave, medical coverage, emotional and mental health support, and compensation packages that allow employees to share in Snap’s long-term success.