Product Analyst Intern

Analyze player behavior, game performance, and business questions using data with SQL and R/Python.

Support analytics projects on player engagement, retention, monetization, experimentation, segmentation, forecasting, or anomaly detection.

Create visualizations and reports to inform product and game teams for decision-making.

Currently pursuing Bachelor's or Master's degree in Analytics, Data Science, Statistics, Mathematics, Applied Mathematics, or related quantitative field.

Working knowledge of SQL including joins, aggregations, CTEs, and window functions.

Working knowledge of R or Python for data analysis including data manipulation and visualization.

Solid foundation in statistics covering descriptive statistics, probability, sampling, confidence intervals, hypothesis testing, correlation, and regression fundamentals.

Has academic or internship project experience applying end-to-end analytical problem solving.

Comfortable with statistical and data science fundamentals such as classification, clustering, train/test validation, and model evaluation.

Interested in games, digital products, consumer behavior, or related analytics domains and able to communicate analytical findings clearly.