Senior Business Intelligence Engineer

Role overview

What you’ll do

• Combine and analyze data from multiple sources to help business teams and leadership make informed decisions.
• Identify auction campaign trends, recommend optimizations, and share best practices with account management.
• Provide analysis, insights, reports, and recommendations that support client and business success.
• Work with cross-functional teams on measurement strategies, alpha or beta product insights, and feedback on data tools.
• Translate complex analytical concepts into data stories for broader audiences and influence decisions.
• Build and maintain dashboards and reports for advertiser performance and product development.
• Identify revenue-impacting projects, define scope and objectives, and recommend actions.
• Provide real-time auction campaign analysis and data-based upsell recommendations with Account Management.
• Contribute vertical and category insights 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.
• A bachelor’s degree in computer science, economics, mathematics, or equivalent is preferred.

Preferred qualifications

• Analytical mindset, attention to detail, and organizational ability.
• Ability to work in a dynamic environment, independently and collaboratively.
• Ability to design implementable, efficient, scalable data-based solutions to business problems.
• Experience analyzing large datasets and producing actionable insights.
• Comfort interpreting complex data and presenting to technical and non-technical audiences.
• Arabic language ability is a plus.

Workplace policy

• Snap’s default-together policy expects employees to work in an office four or more days per week.

About Snap

Benefits

• Benefits include paid parental leave, medical coverage, mental health support, and compensation packages with long-term participation.