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Data Analyst
Papaya Global. Use statistical and mathematical methods to recommend new ways to optimize and maximize player retention and game revenue .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing large datasets to optimize player retention and game revenue, utilizing strong SQL skills and statistical methods. Proficient in building dashboards and reports to communicate key business metrics effectively.
Highest-signal resume keywords
SQL QueryingData AnalysisA/B TestingPython (Pandas, SciPy, NumPy, Matplotlib, Seaborn)Stakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsMathematical AnalysisData VisualizationBusiness AnalysisProduct Analysis
Soft Skills
CommunicationCollaborationProblem-Solving
Tools & Technologies
AI Tools for AnalyticsDashboardsReports
Industry Keywords
B2CUser ExperiencePlayer RetentionGame Revenue
Tech Stack
Tools & technologiesNumpyPandasPythonSQL
About the role
Key responsibilities & impact- 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 become a data-oriented user 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
- Tell the story behind the numbers, understand how players interact with games, and leverage data to propose ideas for implementation
Requirements
What you’ll need- Minimum of 4 years experience in business analysis, product analysis, or a related field
- At least 4+ years’ experience in a 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
Benefits
Comp & perks- AI tools are encouraged and expected to be leveraged alongside hands-on analytical skills