Senior Product Analyst
PlayStation · New York, United States
About The Role
Join Sony Interactive Entertainment LLC as a Senior Product Analyst in California. In this role, you will collaborate with product feature teams and data partners to drive data-driven insights and decision-making. You will oversee end-to-end product analytics projects, lead A/B test experiments, and convert business questions into data analytics tasks. Additionally, you will work with data scientists on research and innovation, and collaborate with the reporting team to create automated dashboards. Benefits include private medical and dental insurance, flexible working policy, on-site gym, and discounts on PlayStation and Sony products.
- Collaborate with product feature teams and data partners to ensure effective data utilization and measurement methodologies for data-driven insights and decision-making.
- Oversee end-to-end product analytics projects, including data exploration, KPI design, target setting, measurement planning, and impact assessment.
- Lead A/B test experiments, validate test data, monitor progress, perform post-test analysis, and provide recommendations for feature release decisions.
- Excellent written and verbal communication skills, with experience presenting analytical results to non-technical partners
- 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
- 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
- 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
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