About the Company Founded in 2013 by Arpit Jain (CEO), PubScale (formerly greedygame) is a leading ad-tech company that drives app growth and monetization.

As a Google Publishing Partner, we serve 100M+ daily ad impressions and support 5,000+ apps and games worldwide, delivering up to 75% revenue uplift. We are trusted by brands such as Amazon, Dream11, MPL, ShareChat, Treebo and MobiKwik, and by 1,000+ publishers across 20+ countries.

They deliver a better user experience and higher monetization, without annoying pop-ups.
• AdX & GROW : Monetization through Google Ad Manager and premium demand partners, plus GROW, an AI-driven user acquisition engine with free credits and optimization support.

As a Data Analyst at GreedyGame, you will analyze mobile advertising, user behavior and monetization metrics to support app growth and revenue platforms such as PubScale.

You will be the person teams turn to when they ask, 'What is the data telling us' You will work with Product, Ad Ops, Sales and Engineering to track revenue, understand what drives it, and catch problems early, from a drop in fill rate to a spike in suspicious traffic.

Write SQL to pull and combine ad, app and revenue data, using window functions, CTEs and date-based rollups.

- Clean and explore data in Python (pandas and NumPy): handle missing values and duplicates, aggregate data and spot outliers.
- Turn findings into short write-ups and recommendations that non-technical teams can act on.




- Improve data quality by defining metrics consistently and documenting where each number comes from.

Experience: 2–5 years in a data analyst or similar analytics role.

- SQL (strong): You write queries that stay correct when data is missing or duplicated.
- Python for analysis: pandas and NumPy for filtering, groupby, pivot tables, handling missing values and exploratory data analysis (EDA).
- medians, distributions and outliers, confidence intervals, p-values and A/B testing fundamentals, including common pitfalls such as multiple testing and skewed data.
- Hands-on experience with at least one BI tool, such as Looker Studio, Tableau, Power BI or Metabase.
- Communication: You explain findings in plain language, with one clear chart and one transparent recommendation.
- A degree in a quantitative field (engineering, statistics, mathematics, economics or computer science), or equivalent experience.

Experience in ad-tech, mobile apps, gaming or another high-volume digital business.

- Basic machine learning: regression and classification, train/test splits, overfitting and data leakage.
- Experience with cloud data tools such as BigQuery, Redshift, Snowflake or Spark.

Your analysis directly shapes revenue decisions for app developers around the world.

- Hybrid work model: 3 days in our Bengaluru office and 2 days remote.
- Competitive compensation, performance rewards and learning opportunities.

📌 Python Data Analyst Remote (Bengaluru)
🏢 GreedyGame
📍 Bengaluru