Lead Data Analyst, Gaming Analytics & ML

Jamcity; Culver City (CA); On-site; USD 122,000 - 149,000; Full time

Job summary

Jamcity in Culver City, CA is seeking a Senior Data Analytics Specialist to lead analytics projects, apply statistical methods, and translate insights into game and studio improvements.

You will develop scalable data views through ETL, data warehousing, SparkSQL, Python and R, and build models to predict player behavior.

The role includes collaborating with teams, delivering dashboards with Tableau/SQL/Excel, and driving data-driven decisions.

Qualifications

• Master’s degree in Business Statistics, Analytics, Data Science, or related field.
• 1 year of experience in business analytics and predictive modeling.
• Experience with data visualization and statistical learning methods.
• Proficiency with Python or R and SQL.

Responsibilities

• Lead analytics projects and apply statistical methods to improve studio performance.
• Develop scalable data views using ETL, data warehousing, and SparkSQL.
• Build models (logistic regression, boosted trees, random forest) to predict player behavior.
• Create reports and dashboards with Tableau, SQL, Excel for executives.
• Collaborate cross-functionally to translate complex findings into business decisions.
• Design experiments and measure success with clear goals.
• Identify patterns in datasets to inform hypotheses and feature performance.
• Automate repetitive data tasks and pipelines to improve efficiency.
• Communicate findings to stakeholders with data-driven recommendations.
• Ensure data quality through cleansing and standardization techniques.

Skills

Data warehousing

Data architecture

ETL processes

SparkSQL

Python

R

Tableau

SQL

Excel

Statistical modeling

Machine learning

Education

Master’s degree in Business Statistics, Analytics, Data Science, or related field

Tools

Not specified

Job description

Jamcity in Culver City, CA is seeking a Senior Data Analytics Specialist to lead analytics projects, apply statistical methods, and translate insights into game and studio improvements.

You will develop scalable data views through ETL, data warehousing, SparkSQL, Python and R, and build models to predict player behavior.

The role includes collaborating with teams, delivering dashboards with Tableau/SQL/Excel, and driving data-driven decisions.