<div>GreedyGame is an app growth and monetization platform. We empower app developers and help them grow their apps quickly and sustainably. We curate products and services, allowing developers to focus on creating world-class content while we handle the distribution and revenue maximization. We envision a world where mobile apps and games are heavily used. Our aim is to completely transform the app economy and make app development financially viable. We want to power innovative apps that solve problems and add value to users' lives on a daily basis.</div>

GreedyGame

About the Company Founded in 2013 by Arpit Jain (CEO), PubScale is a leading ad-tech company that drives app&nbsp;growth and monetization.&nbsp;
We have built a sustainable, profitable business for over 7 years without chasing vanity metrics. Having completed our 0→1 journey, we are now scaling rapidly through our 1→10 phase.
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. Our Products PubScale (our flagship product) PubScale brings monetization, user acquisition, revenue uplift and business-growth analytics&nbsp;together in one place. • Immersive Ads: Native, non-intrusive ad formats with smart caching, priority loading and&nbsp;adaptive refresh. They deliver a better user experience and higher monetization, without&nbsp;annoying pop-ups. • Offerwall: A reward-based engagement layer that monetizes non-paying users through&nbsp;personalized, high-conversion tasks, driving eCPMs of up to $1,000 in Tier geographies and&nbsp;up to 3x more revenue in emerging markets. • AdX &amp; GROW: Monetization through Google Ad Manager and premium demand partners, plus&nbsp;GROW, an AI-driven user acquisition engine with free credits and optimization support. About the Role As a Data Analyst at GreedyGame, you will analyze mobile advertising, user behavior and&nbsp;monetization metrics to support app growth and revenue platforms such as PubScale.&nbsp;
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. What You'll Do • Write SQL to pull and combine ad, app and revenue data, using window functions, CTEs&nbsp; and date-based rollups. • Build and maintain dashboards for key metrics such as revenue, eCPM, fill rate, CTR, installs&nbsp;and cost per install. • Analyze trends by country, platform, app and demand partner, and explain why a number&nbsp;moved. • Clean and explore data in Python (pandas and NumPy): handle missing values and duplicates,&nbsp;aggregate data and spot outliers. • Design and analyze A/B tests on ad placements, formats and pricing, and give a clear go/no go recommendation backed by numbers. • Flag unusual traffic or sudden changes in key metrics, and work with Ad Ops to investigate&nbsp;them. • 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&nbsp;comes from. What We're Looking For • Experience: 2–5 years in a data analyst or similar analytics role. • SQL (strong): Joins, GROUP BY, CTEs, window functions (RANK, LAG, running totals) and date logic. 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&nbsp;values and exploratory data analysis (EDA). • Statistics: Means vs. medians, distributions and outliers, confidence intervals, p-values and&nbsp;A/B testing fundamentals, including common pitfalls such as multiple testing and skewed data. • Dashboards: Hands-on experience with at least one BI tool, such as Looker Studio, Tableau,&nbsp;Power BI or Metabase. • Problem solving: You break a vague question into clear steps and sanity-check your answer&nbsp;before sharing it. • Communication: You explain findings in plain language, with one clear chart and one clear&nbsp;recommendation. • Education: A degree in a quantitative field (engineering, statistics, mathematics, economics or&nbsp;computer science), or equivalent experience. Nice to Have • Experience in ad-tech, mobile apps, gaming or another high-volume digital business. • Familiarity with ad metrics and concepts: eCPM, fill rate, ARPDAU, mediation, programmatic&nbsp;auctions and invalid traffic. • Basic machine learning: regression and classification, train/test splits, overfitting and data&nbsp;leakage. • Experience with cloud data tools such as BigQuery, Redshift, Snowflake or Spark. Why PubScale? • 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. • High ownership, visibility and direct collaboration with leadership. • A fast-paced startup environment where your work has a significant impact on business&nbsp;growth. • Competitive compensation, performance rewards and learning opportunities. • A collaborative culture focused on innovation, speed and execution.