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Data Analyst

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Onsite

Data Analyst

PAPAYA

Data Analyst

Skills

SQL QueriesPythonNumPypandasData AnalysisAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Tel Aviv-Yafo, Israel

Work mode:

Onsite

Published on:

23 September 2026

What they need


Papaya is one of the world's fastest-growing mobile game companies, providing entertainment for millions of users across multiple apps. The company is headquartered in the heart of Tel Aviv. We are looking for a sharp and passionate Analyst to join our top-notch analytics team. Using your technical and analytical skills, your mission will be to tell the story behind the numbers, understand how players interact with our games, and leverage our data to propose new ideas that you’ll then see implemented. We encourage the use of AI tools and expect our Data Analysts to leverage them alongside strong hands-on analytical skills.

Responsibilities:

  • Use statistical and mathematical methods to recommend new ways to optimize and maximize player retention and game revenue.
  • Analyze large, complex data sets to solve business questions and be a data-oriented users behavior expert.
  • Build dashboards and reports to facilitate understanding of key business metrics and players' experience.
  • Work closely with developers and product teams to execute new features and processes that optimize user experience.

Requirements:

  • Minimum of 4 years experience in business analysis, product analysis, or a related field.
  • At least 4+ years’ experience in B2C analyzing large datasets centric role
  • B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background.
  • Strong SQL with experience in querying large complex data sets - must have.
  • Strong statistical and mathematical background - Advantage
  • Vast knowledge in A/B testing including statistical methods
  • Hands-on experience using AI tools for analytics.
  • Excellent communication and stakeholder-management skills, with the ability to work effectively with both technical and non-technical teams.
  • Experience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) – Advantage.

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