Senior BI Engineer — Revenue Insights Leader

Snap; Abu Dhabi; On-site; AED 180,000 - 260,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support programs

Performance-based compensation

Flexible work options

Job summary

Snap Inc. seeks a Group Analyst to join Team Snapchat and partner with the Sales team to unlock revenue and drive category growth through actionable data insights.

You will analyze multiple sources, build dashboards, and deliver data-driven recommendations to influence client decisions. Ideal candidates have strong quantitative skills, 5+ years of experience, and proficiency in SQL and Python/R, with the ability to communicate complex data to both technical and non-technical audiences.

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 help leadership make data-driven decisions by analyzing information from multiple sources.
• Identify performance trends across campaigns to fuel optimization recommendations.
• Build and maintain dashboards and reports to help the business understand advertiser performance.
• Provide real-time analysis for auction campaigns and influence incremental spend through data-driven upsell recommendations.
• Distill analytical concepts for broader audiences and influence decision making with a data story.

Skills

Quantitative analysis

Data storytelling

Cross-functional collaboration

Education

Bachelor's degree in computer science/economics/mathematics or equivalent

Tools

SQL

Python/R

Job description

Snap Inc. seeks a Group Analyst to join Team Snapchat and partner with the Sales team to unlock revenue and drive category growth through actionable data insights.

You will analyze multiple sources, build dashboards, and deliver data-driven recommendations to influence client decisions. Ideal candidates have strong quantitative skills, 5+ years of experience, and proficiency in SQL and Python/R, with the ability to communicate complex data to both technical and non-technical audiences.