6 дней назад
Senior Data Analyst I, Product (Gaming)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst I, Product (Gaming): Analyzing product funnels, user cohorts, and behavioral data while designing A/B and multivariate experiments to improve product features and engagement strategies with an accent on quantitative analysis, experimentation, and data-driven product decisions. Focus on building automated dashboards and models, applying inferential statistics, and translating complex analyses into actionable insights for product, marketing, and engineering stakeholders.
Location: Hybrid in Toronto or Montreal, Canada, with 2 days per week in the office
Company
uses data and experimentation to improve product performance, user engagement, and business decisions.
What you will do
- Analyze product funnels, user cohorts, and behavioral data to identify opportunities for improving the user experience.
- Define company KPIs and build automated dashboards, reports, and analytical models.
- Design, coordinate, and analyze A/B and multivariate product experiments.
- Generate insights that inform new product features, engagement strategies, and growth initiatives.
- Collaborate with data, product, marketing, and engineering stakeholders to scope projects, assess risks, and create execution plans.
Requirements
- Bachelor’s degree in computer science, mathematics, economics, statistics, or another quantitative field.
- 4+ years of experience in quantitative analysis, preferably in the technology industry, with demonstrated impact on business or product decisions.
- Experience with A/B testing and inferential statistics, including significance, statistical power, confidence intervals, and variance.
- Fluency in SQL, including work with complex and highly dimensional data, plus scenario modeling and sensitivity analysis in Excel.
- Experience with Python or another programming tool for statistical modeling.
- Familiarity with Tableau or another BI tool and cloud data technologies such as AWS, Azure, or Databricks.
Nice to have
- Passion for gaming and familiarity with the games industry.
- Understanding of data science and machine learning techniques.
- Experience with very large datasets and distributed computing technologies such as Hive or Hadoop.
Culture & Benefits
- Hybrid work environment with virtual and in-person activities.
- Team dinners, game nights, and company-wide events.
- Culture focused on continuous learning, improvement, experimentation, and sharing ideas.
- Collaborative environment that encourages calculated risk-taking and turning ideas into results.
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