<div>GreedyGame is an app growth and monetization platform. We empower app developers and help them grow their apps quickly and sustainably. We curate products and services, allowing developers to focus on creating world-class content while we handle the distribution and revenue maximization. We envision a world where mobile apps and games are heavily used. Our aim is to completely transform the app economy and make app development financially viable. We want to power innovative apps that solve problems and add value to users' lives on a daily basis.</div>

GreedyGame

Analyst – Publisher Monetisation
Company: PubScale Location: Bengaluru Experience: Freshers (2025/2026 graduates) from top-tier colleges and universities
 About Us An ad-tech company that helps app and game publishers grow their advertising revenue. We work with publishers to monetise their inventory through smart ad strategies, data-driven optimisation and strong demand partnerships.
 About the Role
As an Analyst, you will sit at the intersection of data and revenue. You will dig into publisher performance data, spot what is working and what isn’t, and turn those findings into decisions, especially around floor price optimization, that directly increase publisher revenue. You will also work closely with the account management team and, when needed, speak with clients directly.
 Key Responsibilities Analyse publisher performance across metrics such as impressions, fill rate, eCPM, bid rates and revenue, and track trends over time. Optimise floor prices by studying bid landscapes, demand behaviour and inventory quality, then test and measure the impact of changes. Identify revenue opportunities, such as underperforming placements, geos, ad formats or demand sources, and recommend clear next steps. Build and maintain dashboards and regular reports for internal teams and publishers. Run experiments and A/B tests on monetisation setups and report results with clear takeaways. Support account management by preparing performance reviews, answering data queries and flagging risks or opportunities in publisher accounts. Interact with clients when required to explain performance, share insights and align on optimisation plans. Work with the product, engineering and demand teams to resolve data or performance issues.
 Required Skills and Qualifications
Bachelor’s or Master’s degree from a top-tier college or university, preferably in Engineering, Statistics, Mathematics, Economics, Computer Science or a related quantitative field. Strong analytical, statistical and mathematical skills, with the ability to interpret data and derive actionable insights. Solid understanding of core statistics concepts (distributions, hypothesis testing, correlation and regression). Proficiency in Excel/Google Sheets; working knowledge of SQL is strongly preferred. Clear written and verbal communication, with the ability to explain data-driven findings simply. Structured problem-solving approach, high attention to detail and curiosity about the “why” behind numbers. Comfortable supporting account management and interacting with clients when needed.
 Good to Have Exposure to Python or R, and a BI tool such as Tableau, Looker or Power BI. Basic understanding of digital advertising, such as programmatic, RTB, header bidding, eCPM, fill rate and mediation. Internships, projects or competitions involving data analysis.
 What You’ll Gain Hands-on experience in the ad-tech and mobile monetisation space. Direct ownership of optimisation decisions that move revenue. Exposure to global publishers and clients. Fast learning and growth in a data-driven team.