Data Analyst

GreedyGame Media Pvt. Ltd.; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Job summary

PubScale is seeking a data analyst to analyze mobile advertising, user behavior and monetization metrics to support app growth and revenue platforms such as PubScale.

You will collaborate with Product, Ad Ops, Sales and Engineering to track revenue, understand what drives it, and flag issues early, from drops in fill rate to sudden traffic spikes. The role is based in Bengaluru with a hybrid model (3 days in office, 2 days remote).

Qualifications

• 2–5 years of experience in a data analytics role.
• Strong SQL skills with joins, GROUP BY, CTEs, window functions.
• Proficiency in Python (pandas/NumPy) for EDA.
• Knowledge of statistics and A/B testing fundamentals.
• Experience with BI tools such as Looker Studio/Tableau/Power BI.

Responsibilities

• Write SQL to pull and combine ad, app and revenue data.
• Build and maintain dashboards for key metrics.
• Analyze trends by country, platform, app and demand partner.
• Clean and explore data in Python (pandas and NumPy).
• Design and analyze A/B tests with clear recommendations.
• Flag unusual traffic or sudden changes and investigate.
• Turn findings into write-ups and actionable recommendations for non-technical teams.
• Improve data quality by documenting data sources and definitions.

Skills

SQL

Python

Statistics

Dashboards

Problem solving

Communication

Education

Quantitative degree

Tools

Looker Studio

Tableau

Power BI

Metabase

Job description

About the Company

Founded in 2013 by Arpit Jain (CEO), PubScale is a leading ad-tech company that drives appgrowth 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 analyticstogether in one place.
• Immersive Ads: Native, non-intrusive ad formats with smart caching, priority loading andadaptive refresh. They deliver a better user experience and higher monetization, withoutannoying pop-ups.
• Offerwall: A reward-based engagement layer that monetizes non-paying users throughpersonalized, high-conversion tasks, driving eCPMs of up to $1,000 in Tier geographies andup to 3x more revenue in emerging markets.
• AdX & GROW: Monetization through Google Ad Manager and premium demand partners, plusGROW, 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 andmonetization 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, installsand cost per install.
• Analyze trends by country, platform, app and demand partner, and explain why a numbermoved.
• 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 investigatethem.
• 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 numbercomes 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 missingvalues and exploratory data analysis (EDA).
• Statistics: Means vs. medians, distributions and outliers, confidence intervals, p-values andA/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 answerbefore sharing it.
• Communication: You explain findings in plain language, with one clear chart and one clearrecommendation.
• Education: A degree in a quantitative field (engineering, statistics, mathematics, economics orcomputer 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, programmaticauctions and invalid traffic.
• Basic machine learning: regression and classification, train/test splits, overfitting and dataleakage.
• 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 businessgrowth.
• Competitive compensation, performance rewards and learning opportunities.
• A collaborative culture focused on innovation, speed and execution.