Data Analyst

An Israeli Ad-Tech startup, founded in 2017, develops an ML-based platform that operates autonomously across multiple global advertising exchanges in real-time (RTB – Real-Time Bidding). The company is fully bootstrapped, reached profitability within its first year, and continues to be profitable today.

Headquartered in Tel Aviv (near train and light rail lines), the company has 80 employees, all in Israel, and offers a hybrid work model with one work-from-home day per week.

Key Responsibilities:

• Develop systems for identifying and blocking fraudulent traffic
• Work with raw data to analyze and detect suspicious patterns
• Integrate data from external vendors and internal business logic for fraud detection
• Collaborate with R&D, analysts, and business teams to improve detection methods
• Take ownership of the fraud detection domain and propose innovative solutions
• Tech Stack: SQL, Big Data, ML, internal tooling (no UI), raw data processing

Requirements:

• SQL Expertise: Minimum 5 years. Advanced skills to query and analyze complex, large datasets efficiently (experience with BigQuery is a plus).
• Data Analysis & Interpretation: Proven ability to uncover trends, diagnose root causes, and provide actionable insights that influence business outcomes.
• Python Proficiency: Experience with Python for advanced data analysis and process automation.
• Critical Thinking & Problem-Solving: Strong analytical skills to interpret data, dive into root causes, and drive solutions in a fast-paced environment.