Data Analyst

About the Role

As a Data Analyst at GreedyGame (PubScale), you will analyze mobile advertising, user behavior and monetization metrics to support app growth and revenue platforms. You will be the person teams turn to for data insights. You will work with Product, Ad Ops, Sales and Engineering to track revenue, understand what drives it, and catch problems early.

What You'll Do

• Write SQL to pull and combine ad, app and revenue data using window functions, CTEs and date-based rollups.
• Build and maintain dashboards for key metrics such as revenue, eCPM, fill rate, CTR, installs and cost per install.
• Analyze trends by country, platform, app and demand partner to explain metric movements.
• Clean and explore data in Python (pandas and NumPy): handle missing values and duplicates, aggregate data and spot outliers.
• Design and analyze A/B tests on ad placements, formats and pricing with clear go/no-go recommendations backed by numbers.
• Flag unusual traffic or sudden changes in key metrics to investigate with Ad Ops.
• Turn findings into short write-ups and actionable recommendations for non-technical teams.
• Improve data quality by defining consistent metrics and documenting their sources.

Nice to Have

• Experience in ad-tech, mobile apps, gaming or high-volume digital business.
• Familiarity with ad metrics: eCPM, fill rate, ARPDAU, mediation, programmatic auctions and invalid traffic.
• Basic machine learning knowledge including regression, classification, overfitting and data leakage.
• Experience with cloud data tools such as BigQuery, Redshift, Snowflake or Spark.