REMOTEFULLTIME
Data Analyst
GreedyGame
Remote · remote · Posted 2d ago
Your match
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
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 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 Why GreedyGame?
- 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
Sourced from linkedin · view original
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02