עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום סייבר

תל אביב - יפו

חברה בתחום סייבר

תל אביב - יפו
מלאה
16,000-24,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

We are looking for a highly analytical Data Analyst to join our Data Science team and support the development, evaluation, and improvement of data-driven models and research initiatives. In this role, you will work closely with data scientists to analyze large-scale behavioral and transactional datasets, generate insights, and help translate raw data into meaningful signals.
Responsibilities
Conduct exploratory analysis on large-scale behavioral and transactional datasets.
Partner with data scientists to support model development, evaluation, and validation activities.
Investigate patterns, anomalies, and trends in user behavior, fraud indicators, and system performance.
Build Python-based analytical workflows to support data investigations and research tasks.
Collaborate with engineering and data teams to maintain high standards of data quality and integrity.
Communicate analytical findings clearly and concisely to the data science team.

Requirements:
2-4 years of experience in a Data Analyst or similar analytical role
Strong Python skills for data analysis (e.g., pandas, numpy, data exploration)
Experience using AI-assisted tools (e.g., generative AI, code assistants, or data analysis copilots) to enhance data exploration, analysis efficiency, and insight generation, with an understanding of their limitations and best practices
Strong SQL skills and experience working with large datasets
Solid understanding of statistical concepts and exploratory data analysis techniques
Strong problem-solving and analytical thinking skills
Ability to clearly communicate analytical findings
Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
Nice to Have
Experience working closely with data science or machine learning teams
Familiarity with machine learning workflows and model evaluation
Experience in fraud detection, risk, cybersecurity, or fintech domains
Experience working with large-scale data pipelines.

This position is open to all candidates.