Data Analyst: Gaming Analytics & ML Insights

Jam City; Culver City (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Jam City in Culver City seeks a data analytics professional to drive insights across game titles. You will lead complex analytics projects, build scalable data models, and apply statistical methods to improve player engagement and studio performance.

Responsibilities include designing experiments, evaluating feature performance, and delivering actionable reports using Python, SparkSQL, R, Tableau, and Excel. A Master’s degree plus 1 year of analytics experience is required.

Qualifications

• Master’s degree or equivalent in Business Statistics, Business Analytics, Data Science, Mathematics or related field.
• Plus one year of experience in business analytics including data analytics applications, statistical computing and data visualization, predictive modeling, and statistical learning methods.

Responsibilities

• Apply industry knowledge to analyze data and propose studio improvements based on statistical methods.
• Lead analytics projects using data warehousing, data architecture, fact and dimension tables, ETL processes, and SparkSQL/Python.
• Use advanced analytics techniques to predict player behavior and evaluate pre-release features with R/Python.
• Extract and analyze complex datasets to understand game metrics and inform hypotheses.
• Conduct ad hoc analyses to identify patterns in player behavior, measure feature performance, and resolve data issues.
• Create and distribute data insights via reports in Tableau, Excel, and SQL.
• Collaborate with teams to communicate findings and support decision-making.

Skills

Advanced analytics

Statistical modeling

Experiment design

Data storytelling

Education

Master’s degree or equivalent in Business Statistics/Data Science/Data Analytics

Tools

SparkSQL

Python

R

Tableau

Excel

Job description

Jam City in Culver City seeks a data analytics professional to drive insights across game titles. You will lead complex analytics projects, build scalable data models, and apply statistical methods to improve player engagement and studio performance.

Responsibilities include designing experiments, evaluating feature performance, and delivering actionable reports using Python, SparkSQL, R, Tableau, and Excel. A Master’s degree plus 1 year of analytics experience is required.