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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. b 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). b 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. b 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. As a Data Analyst, you’d be contributing directly to the below features of “Pubscale”: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 $1000 in Tier 1 geos and up to 3X more revenue in emerging markets.AdX & GROW: Monetization via Google Ad Manager + premium demand partners and an AI-driven UA engine (GROW) with free credits and optimization support. Responsibilities Analyze system and user data to detect leaks, inefficiencies, and behavioral anomalieDevelop and refine content recommendation engines, blacklisting rules, and fraud detection algorithmBuild interactive dashboards and visual reports using multiple BI tools for real-time visibilit¦ Conduct A/B testing and experimentation to evaluate product and campaign performanc Automate data workflows and reporting pipelines to enhance operational efficiencCollaborate closely with product, engineering, and leadership to translate insights into strategic actions Requirements2–4 years of experience in a data-driven role with strong proficiency in Python or R for data processing and scripting Hands-on experience with NumPy, Pandas, or similar statistical libraries Advanced SQL skills, including experience with performance optimization using Views, Indexes, etc b Experience building dashboards and reports using BI tools like Looker Studio, Power BI, or BigQuer$ Familiarity with web and app analytics platforms such as Google Analytics and FirebaseBachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field Bonus Points Exposure to Kafka or streaming data pipelines b 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, not just shipping code.Why GreedyGame? Opportunity to work on products used by millions see: Pubscale Ownership from Day 1 shape architecture, strategy, and key decision Learning stipend for books, courses, and conferences (we love curious minds!) internal blog 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