Job Summary

GreedyGame is seeking an experienced Product Analyst to drive data-backed decisions across our growing product portfolio. In this role, you will analyze user behavior, engagement, and monetization trends, build essential dashboards, and conduct in-depth analyses to identify growth opportunities and optimize product performance.

Key Skills: Product Analytics, Data Analytics, Growth Analytics, Mobile App Data Analysis
Technologies: Python, SQL, Pandas, NumPy, Firebase, Mixpanel, Amplitude, Power BI, Tableau

About the Company

GreedyGame founded in 2013 by Arpit Jain [CEO] is a leading ad-tech company that's been driving app growth and monetization
We've built a sustainable and profitable business for over 7 years without chasing vanity metrics and successfully completed our 0→1 journey, we're now scaling rapidly (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
Trusted by brands like Amazon, Dream11, MPL, Sharechat, Treebo, Mobikwik, and 1000+ publishers across 20+ countries.

The Products You'd Help Build

Pubscale - Our Flagship Product

Enables effective monetization, user acquisition, uplift revenue and analyzes business growth all in a single place.

Immersive Ads

Native, non-intrusive ad formats with features like smart caching, priority loading, and adaptive refresh deliver better UX and higher monetization without annoying popups

Offerwall

A reward-based engagement layer that monetizes non-paying users through personalized, high-conversion tasks—driving eCPMs up to $1000 in Tier 1 geos and up to 3X more revenue in emerging markets

AdX & GROW

Monetization via Google Ad Manager + premium demand partners and an AI-driven UA engine (GROW) with free credits and optimization support

Key Responsibilities

Analyze user behavior, engagement, retention, and monetization trends across products like Sikka, Offerwall, and Immersive Ads.
Build dashboards and reports to track key product and revenue metrics.
Conduct funnel, cohort, and retention analysis to identify growth opportunities and user drop-offs.
Design and evaluate A/B tests and product experiments.
Monitor monetization metrics such as eCPM, CTR, ARPU, ARPDAU, conversion rates, and reward redemption performance.
Identify anomalies, fraud patterns, and revenue leakages through data analysis.
Partner with Product, Growth, and Engineering teams to drive data-backed decisions.

Requirements

2–4 years of experience in Product Analytics, Data Analytics, or Growth Analytics.
Strong proficiency in Python and SQL.
Experience with Pandas, NumPy, and data visualization tools.
Hands-on experience with Firebase, Mixpanel, Amplitude, AppsFlyer, Adjust, or similar analytics platforms.
Experience analyzing mobile app data, user journeys, funnels, cohorts, and retention metrics.
Experience building dashboards using Power BI, Looker Studio, Tableau, or similar BI tools.
Strong understanding of product metrics such as DAU, MAU, Retention, Churn, LTV, ARPU, and Conversion Rates.

Bonus Points

Exposure to Kafka or streaming data pipelines.
Working knowledge of Redis or in-memory caching tools.
Experience in A/B testing design and evaluation.
Familiarity with TensorFlow or HuggingFace for model experimentation.

What Makes You a Great Fit

You're a strategic thinker who balances technical decisions with long-term maintainability.
You adapt quickly to changing requirements and enjoy working in fast-paced, evolving environments.
You're a clear communicator—able to break down complex ideas for both technical and non-technical stakeholders.
You care deeply about user experience, product quality, and business impact

Benefits & Culture

Opportunity to work on products used by millions – see: Pubscale
Ownership from Day 1 – shape architecture, strategy, and key decisions
Learning stipend for books, courses, and conferences (we love curious minds!) internal blogs
Flexible hybrid work setup – split time between our Bangalore HQ and remote work
Comprehensive benefits – health insurance, PTO, parental leave, and more
A high-growth, inclusive, and engineering-led culture that supports experimentation and impact

Data Analyst

Job Description