Analyst - Publisher Monetization

GreedyGame Media Pvt. Ltd.; Bengaluru; Hybrid; INR 600,000 - 800,000; Full time

Job summary

PubScale in Bengaluru is looking for a data-driven Analyst to optimize publisher monetisation. You will analyze performance metrics, spot opportunities, and help shape price strategy to bolster revenue across campaigns and formats.

You will collaborate with account management, engineering and product teams, turning data insights into concrete actions for clients and partners.

Qualifications

• Bachelor’s or Master’s degree from a top-tier college 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.

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.

Skills

Analytical skills

Statistical knowledge

Data interpretation

Excel/Sheets

SQL

Communication

Problem solving

Client interaction

Education

Engineering degree

Statistics/Math/CS

Tools

SQL

Excel/Sheets

BI tools

Job description

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.