Data Analyst

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.

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 together in one place.

Immersive Ads:

Offerwall:

AdX & GROW

About the Role

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.

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, and explain why a number moved.

• 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, 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 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 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 values and exploratory data analysis (EDA).

• Statistics: Means vs. medians, distributions and outliers, confidence intervals, p-values and 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, Power BI or Metabase.

• Problem solving: You break a vague question into clear steps and sanity-check your answer before sharing it.

• Communication: You explain findings in plain language, with one clear chart and one clear recommendation.

• Education: A degree in a quantitative field (engineering, statistics, mathematics, economics or 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 auctions and invalid traffic.

• 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.

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 growth.

• Competitive compensation, performance rewards and learning opportunities.

• A collaborative culture focused on innovation, speed and execution.