12 дней назад
Staff Product Analyst, Product Analytics
200 100 - 300 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Analyst, Product Analytics (Product Analytics): Shaping product strategy and identifying monetization and growth opportunities through scalable measurement frameworks, experimentation, and advanced analytics with an accent on cross-functional leadership, KPI development, and data-driven decision-making. Focus on designing A/B tests and causal inference methods, solving ambiguous analytics problems with SQL and Python or R, and mentoring analysts while influencing senior stakeholders.
Location: San Mateo, Los Angeles, or San Diego, United States; hybrid working policy applies.
Base salary: $200,100–$300,100 USD per year, with potential bonus eligibility.
Company
Interactive entertainment and technology organization behind the PlayStation brand, delivering gaming hardware, network services, and entertainment experiences.
What you will do
- Act as a strategic analytics partner for Product, Engineering, Data Science, Analytics Engineering, Finance, and business teams.
- Lead analytics strategy for complex product areas by defining KPIs, targets, measurement frameworks, and actionable insights.
- Develop experimentation and measurement strategies, including A/B testing and causal inference approaches.
- Own ambiguous analytics initiatives end to end, integrating complex data and applying advanced analytical techniques.
- Communicate analytical findings through concise narratives that connect insights to business outcomes and support senior-level decisions.
- Establish scalable product analytics practices and mentor analysts on analysis, stakeholder management, and communication.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field, plus 10+ years of relevant professional experience.
- Experience leading complex, cross-functional analytics initiatives with a high degree of autonomy.
- Strong product and business acumen, including the ability to translate business objectives into analytics strategies, KPIs, and experimentation plans.
- Deep experience with hypothesis testing, experiment design, statistical analysis, and measurement; causal inference or quasi-experimental methods are highly preferred.
- Advanced SQL and proficiency in Python or R, with strong statistical and analytical modeling knowledge.
- Strong leadership, communication, mentoring, and senior stakeholder management skills.
Nice to have
- Master’s degree in a related field.
- Experience with causal inference or quasi-experimental methodologies.
- Experience with Adobe CJA, Domo, or Tableau.
Culture & Benefits
- Hybrid work environment.
- Medical, dental, and vision coverage.
- Matching 401(k), paid time off, and wellness program.
- Employee discounts on products and possible bonus compensation.
- Background checks are conducted at the offer stage.
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