13 дней назад
Data Analyst - Poker (Gaming Analytics)
118 300 - 142 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst - Poker (Gaming Analytics) (Python/SQL): Analyzing player behavior, experiments, game economies, and fraud models for Zynga Poker with an accent on product strategy, statistical analysis, and business intelligence. Focus on designing ETL pipelines and telemetry, building decision-making dashboards, improving AI-assisted analytics workflows, and maintaining game integrity models.
Location: Austin, Texas, United States; Toronto, Ontario, Canada. All candidates must be legally authorized to work in the United States without requiring current or future employer sponsorship.
Salary: $118,300–$142,000 per year in Ontario at the start of employment.
Company
is an interactive entertainment company and a label of Take-Two Interactive, developing games played by millions of people worldwide.
What you will do
- Analyze player behavior, revenue, retention, and engagement to guide product and game design decisions.
- Design, conduct, and analyze A/B tests and other statistically sound experiments.
- Build and maintain ETL pipelines, game telemetry, and highly visible dashboards for business intelligence.
- Support game economy tuning and improve fraud detection and bad actor models.
- Contribute to the analytics organization’s AI initiative and improve workflows using LLMs.
- Collaborate with product, game design, consumer insights, economy, analytics, and data science teams.
Requirements
- Bachelor’s degree in computer science, mathematics, statistics, economics, or a related quantitative field.
- At least 8 years of experience in data science or analytics, preferably including 6 years in product data science or gaming analytics.
- Proficiency in Python and SQL.
- Experience with data mining, data visualization, statistical analysis, and machine learning.
- Ability to guide product teams through complex decisions, work with ambiguous data, and communicate analytical findings clearly.
- Legal authorization to work in the United States without current or future employer sponsorship is required.
Nice to have
- Experience with Tableau and Git.
- Familiarity with AI/ML concepts or automated analytics workflows.
- Interest in poker gameplay, terminology, and social casino economies.
Culture & Benefits
- Full-time employment with medical, dental, vision, and basic life insurance.
- Paid holidays, vacation, sick days, parental leave, and compassionate leave.
- Wellbeing and family planning support.
- Commuter, fitness, and employee stock purchase benefits, with eligibility for 401(k) participation.
- Work with teams across North America, Europe, and Asia.
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