Sr. Analyst, Product Analytics

Sony Playstation; San Mateo (CA); Hybrid; USD 175,013 - 248,900; Full time

Job summary

Sony Playstation is seeking a Sr. Analyst, Product Analytics in San Mateo, CA. The position supports large-scale testing strategies and requires a Master’s degree in Business Analytics or a related field and 3 years of experience in machine learning modeling. The salary range is $175,013 to $248,900 per year. Responsibilities include designing tests, analyzing results, and utilizing analytics tools like Python and Tableau. Telecommuting may be permissible based on company policies.

Qualifications

• Master’s degree in Business Analytics or related field, or equivalent.
• 3 years of experience in machine learning modeling.
• Experience in designing and analyzing experiments.

Responsibilities

• Support the rollout of large-scale testing strategies.
• Design multi-dimensional test structures and interpret results.
• Perform causal impact measurement and competitor analysis.

Skills

Machine learning modeling

User segmentation

Behavior prediction

Fraud detection

Statistical analysis

Data mining

Education

Master’s degree in Business Analytics or related field

Tools

Python

R

SQL

Tableau

AWS S3

MongoDB

Job description

Sony Interactive Entertainment LLC seeks a Sr. Analyst, Product Analytics in San Mateo, CA to support the planning and rollout of large‑scale testing strategies, including segmentation, global holdouts, and longitudinal studies. Requires a Master’s degree in Business Analytics, or related field or equivalent, and three (3) years of experience developing and deploying machine learning modeling for user segmentation, behavior prediction, and fraud detection using Random Forest, Gradient Boosted Trees (XGBoost), Logistic Regression, K‑Means, DBSCAN, Latent Class Analysis, and association rule mining; designing and analyzing experiments across A/B testing, multivariate testing, frequentist frameworks, and Bayesian experimentation; designing multi‑dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi‑exposure through stratified sampling and CUPED adjustment; performing causal impact measurement and competitor analysis using quasi‑experimental methods including Synthetic Control Models, and time‑series techniques including Difference‑in‑Differences, Interrupted Time Series, Bayesian Structural Time Series models, Seasonal‑Trend Decomposition, and Rolling Regression; building and maintaining dashboards using Tableau/DOMO to integrate ETL processes; troubleshooting technical configurations, managing data pipelines, validating metrics, and supporting experimentation scalability; utilizing digital user behavior and monetization analytics, including online customer journeys, website conversions, payment‑related user interactions, retention analysis, churn modeling, and marketing return on investment (ROI); applying data mining and behavioral segmentation techniques to uncover patterns that drive product, marketing, and revenue optimization decisions; and utilizing Python, R, SQL, Adobe Analytics, Customer Journey Analytics, and cloud‑based data platforms including Databricks, Data Ocean, Redshift, AWS S3, MongoDB, data catalog and Postgres to manage and analyze large‑scale datasets. Telecommuting and/or working from home may be permissible pursuant to company policies. Sony is an EOE.

Salary range: $175,013.00 – $248,900.00/year

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.

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