Senior BI Engineer: Revenue & Growth Analytics

Snapchat, Inc.; Dubai; On-site; AED 300,000 - 460,000; Full time

Job summary

Snap Inc. is seeking a Group Analyst to join Team Snapchat in Dubai. You will help unlock revenue and drive category growth by uncovering actionable insights, analyzing data from multiple sources, and delivering data-driven recommendations to leadership.

Responsibilities include building dashboards, monitoring auction campaigns, and partnering with cross-functional teams to guide product and sales efforts. A strong background in SQL, Python/R, and data visualization is required.

Qualifications

• Bachelor’s degree in CS/Economics/Mathematics or equivalent.
• 5+ years experience in quantitative analysis and research.
• Proficiency in SQL and Python/R for analysis and data visualization.
• Strong attention to detail and ability to communicate with non-technical audiences.

Responsibilities

• Understand business challenges and help leadership make data-driven decisions by analyzing data from multiple sources.
• Identify performance trends across auction campaigns to inform optimization recommendations.
• Build and maintain dashboards and reports to monitor advertiser performance and product development.
• Partner with cross-functional teams to develop measurement agendas and provide data-based insights for products in alpha/beta.
• Provide real-time analysis for auction campaigns to influence incremental spend and upsell opportunities.

Skills

SQL

Python/R

Data visualization

Analytical mindset

Stakeholder communication

Education

Bachelor’s degree in CS/Economics/Mathematics

Job description

Snap Inc. is seeking a Group Analyst to join Team Snapchat in Dubai. You will help unlock revenue and drive category growth by uncovering actionable insights, analyzing data from multiple sources, and delivering data-driven recommendations to leadership.

Responsibilities include building dashboards, monitoring auction campaigns, and partnering with cross-functional teams to guide product and sales efforts. A strong background in SQL, Python/R, and data visualization is required.