Offer summary

Qualifications:

Bachelor's degree in Industrial Engineering, Math, Statistics, or Computer Science., At least 4 years of experience in business or product analysis, preferably in gaming or B2C sectors., Strong SQL skills for querying large datasets., Proficiency with BI visualization tools like Tableau or Looker..

Key responsibilities:

Analyze large data sets to understand user behavior and inform business decisions.

Plan and implement daily events and promotional strategies based on data insights.

Create automated dashboards and reports to monitor key metrics and user experience.

Collaborate with design and product teams to execute game events and optimize revenue.

Job description

Description

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 Business 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.

Responsibilities

Analyze large, complex data sets to solve business questions and be a data-oriented users behavior expert.
Plan, create & implement day-to-day events and promotions strategies based on users' behavior analysis.
Build automated dashboards and reports to facilitate company-wide awareness and understanding of key business metrics and players' experience.
Coordinate with designers and product teams to execute monthly events and promotions across all our game platforms.
Recommend new ways to optimize and maximize game revenues.

Requirements

Minimum of 4 years of experience in business analysis, product analysis, or a related field.
At least 4+ years’ experience in B2C or 2+ years in Gaming Industry 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.
Experience with BI Visualization tools (Tableau/Looker) - must have.
Vast knowledge in A/B testing including statistical methods
Work experience analyzing large datasets in an Analytics / Product / Monetization centric role- Advantage.
Experience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) – Advantage.

Soft Skills Requirements