Data Analyst (Fraud Detection)

TL;DR

Data Analyst (Fraud Detection): Researching fraud patterns, analyzing large-scale data, and supporting the development and monitoring of fraud-detection algorithms for a mobile app measurement platform. Focus on designing high-performance SQL queries, using Python for data exploration, and collaborating with data scientists and engineers on R&D initiatives.

Location: Herzliya

Company

hirify.global is the #1 market leader in mobile app measurement & mobile attribution platforms, a SaaS and big data company that processes over 100 billion events daily, offering a leading anti-fraud solution called Protect360.

What you will do

• Analyze large, complex datasets to identify fraud patterns and emerging threats.
• Design and write high-performance SQL queries for large-scale data analysis.
• Use Python for data analysis, exploration, validation, and workflow automation.
• Support the development, evaluation, and monitoring of fraud-detection models.
• Build analytical tools, reports, and dashboards to track algorithm performance and fraud trends.
• Collaborate with data scientists, engineers, and product managers on R&D initiatives.

Requirements

• 3+ years of experience as a Data Analyst in a large-scale data or R&D environment.
• B.Sc. in Industrial Engineering, Statistics, Mathematics, Computer Science, or a related field.
• Strong proficiency in SQL and experience working with large-scale datasets.
• Hands-on experience with Python for data analysis (e.g., pandas, numpy).
• Hands-on experience with BI tools such as Looker, Power BI, Tableau, or similar.
• Strong analytical skills and ability to solve complex, ambiguous problems.

Nice to have

• Experience in ad-tech, mobile marketing, or fraud detection.
• Experience working closely with data science or algorithm teams.
• Familiarity with machine learning or data science workflows.

Culture & Benefits

• Global company operating from 25 offices across 19 countries, reflecting a diverse and multicultural world.
• Ensures equal opportunities and promotes the recruitment of diverse talents.
• Values and encourages curiosity, diversity, and innovation from all employees, customers, and partners.
• Employee-obsessed approach, providing the team with necessary tools and resources.