Staff Product Analytics Analyst

PlayStation; San Mateo (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

PlayStation seeks a Staff Product Analyst to lead analytics strategy across product and business areas, partnering with Product, Engineering, Data Science, Analytics Engineering, Finance, and other cross-functional teams.

The role focuses on monetization and product growth opportunities, shaping strategy through data-driven insights, and establishing scalable measurement frameworks to support decision-making across initiatives. Strong leadership and storytelling skills are essential.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field.
• 10+ years of professional experience in product analytics, business analytics, data science, or a related analytical role.
• Demonstrated experience leading complex, cross-functional analytics initiatives with autonomy.
• Advanced SQL and proficiency in Python or R, with knowledge of statistical concepts and analytical modeling.

Responsibilities

• Develop analytics strategy for multiple product areas, translating objectives into KPIs, targets, and measurement frameworks.
• Lead measurement and experimentation programs, including A/B testing and causal inference approaches.
• Partner with Product, Engineering, Finance and other teams to drive data-informed decision making.
• Mentor analysts and elevate analytics practices across teams.
• Communicate analytical findings with concise narratives to senior stakeholders and executives.

Skills

Strategic analytics leadership

Experimentation

A/B testing

Causal inference

SQL

Python

R

Data storytelling

Stakeholder management

BI tools

Adobe CJA

Tableau

Domo

Mentoring analysts

Cross-functional collaboration

Education

Bachelor’s degree in Statistics/Mathematics/Analytics/Data Science/Business/Economics

Master’s degree (nice to have)

Tools

Adobe CJA

Domo

Tableau

Job description

• This role will serve as a strategic analytics lead across multiple product and business areas, partnering closely with Product, Engineering, Data Science, Analytics Engineering, Finance, and other cross-functional teams
• The Staff Product Analyst will be responsible for identifying long-term monetization and product growth opportunities, shaping product strategy through data-driven insights, and establishing scalable measurement frameworks that support decision‑making across initiatives
• Serve as a strategic analytics thought partner, using data to shape product strategy, challenge assumptions, identify opportunities and risks, and influence key decisions
• Lead analytics strategy for complex product areas, partnering with Product, Engineering, Business, and Data teams to translate strategic objectives into KPIs, targets, measurement frameworks, and actionable insights
• Lead measurement and experimentation strategy, including A/B testing and causal inference approaches, ensuring rigorous methodologies are applied to evaluate product impact and inform investment and launch decisions
• Own complex, ambiguous analytics initiatives end to end, defining the analytical approach, integrating complex data, and applying advanced analytical techniques to uncover insights and translate them into clear, actionable recommendations
• Influence and communicate with senior stakeholders, developing concise, compelling narratives that connect analytical findings to business outcomes and drive action
• Elevate Product Analytics capabilities, establishing scalable frameworks and best practices while mentoring analysts on analytical approaches, stakeholder management, and communication

Strong leadership presence and communication skills, with demonstrated ability to simplify complex analytical topics, develop compelling narratives, and communicate recommendations effectively to senior and executive audiencesDeep experience with experimentation and measurement, including A/B testing, hypothesis testing, experiment design, and statistical analysis. Experience with causal inference or quasi-experimental methodologies is highly preferredBachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field, with 10+ years of relevant professional experience in product analytics, business analytics, data science, or a related analytical role. A related Master’s Degree is a plusDemonstrated experience leading complex, cross-functional analytics initiatives with a high degree of autonomy, including situations where requirements, ownership, or the path forward were ambiguousDemonstrated ability to mentor and elevate other analysts, establish analytical best practices, and improve methodologies and ways of working across teamsAdvanced SQL and proficiency in Python or R, with strong knowledge of statistical concepts and analytical modeling techniques. Experience with user journey tools (e.g., Adobe CJA) and BI tools (e.g., Domo, Tableau) is highly preferredProven ability to influence product strategy and decision‑making across teams and senior stakeholders. Strong product and business acumen, with experience translating broad business objectives into analytics and measurement strategies, KPIs, experimentation plans, and actionable recommendations