Posted yesterday

Product Analyst Internship

Pay

Stipend (undisclosed)

Location

Hyderabad, India

On site

Type

Internship

Apply by

30 Oct

11 days left

Skills this role screens for

SQLPythonStatistical inferenceRegression analysisData interpretation

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Responsibilities

What you'll do

  • Analyze player behavior, game performance, and business questions using data.
  • Use SQL to extract and transform data, and R or Python to explore datasets.
  • Support focused analytics projects in areas like engagement, retention, monetization, or experimentation.
  • Apply statistical and data science fundamentals to validate findings and create visualizations.
  • Collaborate with experienced analysts, participate in reviews, and document methodologies.

Requirements

What they're looking for

  • Working knowledge of SQL (joins, aggregations, CTEs, basic window functions).
  • Working knowledge of R or Python for data analysis.
  • Solid foundation in descriptive and inferential statistics.
  • Basic understanding of data science concepts (regression/classification, clustering, model evaluation, overfitting).
  • Strong interest in games, consumer behavior, and analytical problem-solving.

Qualifications

What you'll need

  • Currently pursuing a Bachelor's or Master's degree in Analytics, Data Science, Statistics, Mathematics, Applied Mathematics, or related quantitative field.
Full description from the employer

Electronic Arts is hiring for the role of Product Analyst Intern! Responsibilities of the Intern: • Work with analysts and product partners to analyze player behavior, game performance, and business questions using data. • Use SQL to extract and transform data, and R or Python to explore datasets, test hypotheses, and communicate insights. • Support focused analytics projects in areas such as player engagement, retention, monetization, experimentation, forecasting, or anomaly detection. • Apply statistical and data science fundamentals to real-world problems, validate findings, and create clear visualizations and summaries. • Collaborate with experienced analysts, participate in analytical reviews, and document methodologies for reproducibility. Requirements: • Currently pursuing a Bachelor's or Master's degree in Analytics, Data Science, Statistics, Mathematics, Applied Mathematics, or a related quantitative field. • Working knowledge of SQL (joins, aggregations, CTEs, basic window functions) and either R or Python for data analysis. • Solid foundation in descriptive and inferential statistics (probability, confidence intervals, hypothesis testing, correlation, regression). • Basic understanding of data science concepts (regression/classification, clustering, model evaluation, overfitting). • Strong interest in games, consumer behavior, and analytical problem-solving.

Electronic Arts Inc. (EA)

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