Want to get hired at Play Perfect?
Business Analyst
Play Perfect
Tel Aviv District, IsraelOn Site
Original Job Summary
Overview
Play Perfect is a fast-growing mobile gaming company headquartered in Tel Aviv. With a team of talented and passionate developers, designers, industry experts and gamers, Play Perfect is at the forefront of creating immersive gaming experiences worldwide.
Role: Business Analyst
As a Business Analyst at Play Perfect, you will be responsible for analytics and product analysis. By querying the right data, using advanced statistical techniques, and dashboarding tools, you will empower data-driven decision making across departments.
Responsibilities
- Define analytics and table schemes
- Build dashboards and monitor key business KPIs
- Conduct thorough analysis to identify trends and causality
- Create and validate predictive models
- Automate analysis tools
- Conduct A/B tests and analyze outcomes
Requirements
- +3 years of gaming industry work experience
- BA/BSc degree in Economics, Statistics, Mathematics, Physics, Business Studies or a quantitative field
- Advanced knowledge of statistical methods
- Excellent control with Excel and SQL
- Experience with data analysis and dashboarding systems (Looker is an advantage)
- Python skills are a plus
Key skills/competency
- Analytics
- Data Analysis
- Dashboarding
- Statistics
- SQL
- Excel
- Predictive Modeling
- A/B Testing
- Automations
- Gaming
How to Get Hired at Play Perfect
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to gaming analytics.
- Highlight technical expertise: Emphasize SQL, Excel, and data visualization.
- Prepare case studies: Demonstrate predictive model results.
- Research Play Perfect: Understand company culture and mission.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL query techniques and optimization.
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Practice Excel data manipulation and analysis.
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Study statistical tests and predictive modeling methods.
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Familiarize with dashboard tools like Looker.
Behavioral Questions
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Describe a challenging data analysis project.
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Explain teamwork in high-stress situations.
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Discuss adapting to changing business needs.
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Share experience handling tight deadlines.