Business Analyst (Dubai based)

What you'll do

• Manage business reporting for multiple teams and monitor performance against KPIs
• Verify the integrity and accuracy of revenue reporting across systems
• Track and analyze critical data points influencing core business activities and escalate insights to stakeholders
• Deliver ad-hoc reports and presentations for urgent business needs ensuring accuracy and timeliness
• Execute daily, weekly, and monthly reporting processes to drive operational excellence
• Monitor ad traffic, user behavior, and system logs to detect anomalies, fraudulent activity, and spam patterns
• Investigate suspicious activity including invalid clicks, bot traffic, ad stacking, cloaking, and impression fraud
• Develop and refine rules, filters, and detection mechanisms to mitigate fraud and protect advertising integrity
• Collaborate with product, compliance, and engineering teams to strengthen spam/fraud detection systems
• Document fraud/spam cases with clear evidence and provide insights to prevent recurrence and improve platform trust
• Stay up to date with emerging spam and fraud trends in the AdTech ecosystem and recommend proactive defense strategies

Requirements

• Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, Economics, or related field
• 3–5 years of experience in Data Analytics, Spam/Fraud Analysis, or related roles within AdTech, digital marketing, or internet technology companies
• Proficiency in SQL and Excel for querying, reporting, and data manipulation
• Familiarity with Python for automation, anomaly detection, and data processing
• Skilled in creating dashboards and visualizations using BI tools (Tableau, Power BI, Looker, etc.)
• Strong understanding of ETL processes and ability to manage master data across multiple sources
• Keen attention to detail with the ability to analyze numbers, spot patterns, and identify anomalies
• Strong communication skills to present insights clearly to both technical and non-technical stakeholders
• Highly organized with the ability to manage multiple priorities in a fast-paced AdTech environment
• Proactive problem-solver with an investigative mindset and high ethical standards
• Ability to work cross-functionally with product, finance, engineering, and compliance teams
• Experience with statistical and analytical tools (SAS, SPSS, R) is a plus
• Knowledge of fraud/spam detection methodologies in digital advertising is a plus
• Familiarity with big data tools (Hive, Spark, Presto) is a plus
• Understanding of advertising platforms (Google Ads, DSPs, SSPs, Exchanges) is a plus
• Exposure to machine learning models for fraud detection is a plus

Tech stack

Benefits