Senior Product Analyst

Sony Playstation; San Diego (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Sony Playstation is seeking a Senior Product Analyst in California to manage data projects and collaborate with teams. This role involves designing data KPIs and conducting A/B tests. The ideal candidate has a Bachelor's degree and 3+ years in data analysis with strong SQL and Python skills.

The analyst will engage in data integration, define dashboards, and support product feature teams in data-driven decision-making. Join us in shaping the future of PlayStation!

Qualifications

• 3+ years of relevant professional experience in data analysis.
• Experience in conducting experiments and supporting optimization efforts.
• Familiarity with quasi-experimental causal inference methodologies is a plus.

Responsibilities

• Work closely with product feature teams to define data KPIs and targets.
• Lead A/B test experiments, validate test data, and provide recommendations.
• Collaborate with data scientists on research and enhance analytics methodologies.

Skills

Data analysis

SQL

Python

A/B testing

Statistical concepts

Education

Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or related field

Tools

Adobe Analytics

MicroStrategy

Tableau

Domo

Job description

Senior Product Analyst

San Mateo, CA; Los Angeles, CA; or San Diego, CA (Collab)

Sony Interactive Entertainment LLC is seeking an Analyst, Product Analytics in California to join our team and contribute to the exciting future of the PlayStation platform. This role involves close collaboration with product feature teams and data partners to ensure effective data utilization and measurement methodologies for data-driven insights and decision‑making. The Analyst will oversee end‑to‑end product analytics projects, including data exploration, KPI design, target setting, measurement planning, and impact assessment.

Responsibilities

• Work closely with product feature teams to understand their roadmap and translate initiative goals into data KPIs, targets, and measurement plans.
• Extract and integrate data from various sources to support analytical efforts, coordinating with data product, engineering, data science, and other analytics teams as needed.
• Lead A/B test experiments, validate test data, monitor progress, perform post‑test analysis, and provide recommendations for feature release decisions, collaborating with the experimentation platform team as necessary.
• Convert business questions into data analytics tasks, conduct thorough analyses to segment and explore data, identify key drivers, and generate actionable insights to inform business decisions.
• Collaborate with data scientists on research and innovation, applying standardized processes and enhancing analytics methodologies as they become available. Contribute to the development and use of digital tools, reporting visualization, and analytical storytelling.
• Work with the reporting team to define and create automated and self‑serve dashboards, providing relevant information efficiently to optimize business operations and track key initiatives.

Qualifications

• Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field, with 3+ years of relevant professional experience in data analysis. A related Master’s Degree is a plus.
• Experience working with product, business, or other partner teams, including conducting experiments and supporting optimization efforts such as A/B testing, holdout groups, and multivariate analysis is a must. Familiarity with quasi‑experimental causal inference methodologies is a plus.
• Relevant experience in data analysis with advanced SQL, Python/ R skills is required; Experience with user journey tools (e.g., Adobe Analytics) and standard BI tools (e.g., MicroStrategy, Tableau, Domo) is highly preferred.
• Strong understanding of statistical concepts (e.g., confidence intervals, hypothesis testing) and analytic modeling techniques (e.g., multivariate/linear regression, k‑means clustering) is preferred.
• Excellent written and verbal communication skills, with experience presenting analytical results to non‑technical partners.

Equal Opportunity Statement

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.