Data Analyst-Revenue

PlayTime Entertainment; Taguig; On-site; PHP 1,004,000 - 1,786,000; Full time

Job summary

PlayTime Entertainment is seeking a Senior Data Analyst to design and manage the revenue and commercial metrics framework across advertising, subscriptions, events, and e-commerce. You will define KPIs and deliver daily, weekly, and monthly performance reports for management.

You will analyze advertising revenue using Google Ad Manager and programmatic platforms, conduct root-cause analyses, support Sales with data-driven insights, and build dashboards to enable data-driven decisions.

Qualifications

• 4+ years of experience in data analysis, preferably in digital media or advertising revenue analysis.

Responsibilities

• Develop and manage the revenue and commercial metrics framework across revenue streams (advertising, subscriptions, events, e-commerce).
• Define KPIs and prepare daily, weekly, and monthly performance reports for management.
• Analyze advertising revenue and monetization performance via Google Ad Manager and programmatic platforms.
• Conduct root-cause and trend analysis to drive revenue growth and commercial efficiency.
• Provide data support to Commercial and Sales teams including advertiser segmentation and revenue opportunities.
• Review campaign performance against targets and provide optimization recommendations.
• Support sales forecasting and revenue planning with historical and market data.
• Develop, maintain, and improve dashboards and reporting tools for stakeholders.
• Establish data definitions and KPI methodologies across departments.
• Collaborate with the Shanghai Data Team for reporting and analytics.
• Participate in on-call rotation and resolve data/reporting issues promptly.
• Communicate analytical findings to stakeholders with clear business insights.

Skills

Data analysis

SQL

Analytical thinking

Tools

Looker

Tableau

Power BI

Job description

• Develop and manage the revenue and commercial metrics framework across key revenue streams, including advertising, subscriptions, events, and e-commerce. Define relevant KPIs and prepare accurate daily, weekly, and monthly performance reports to provide management with clear visibility into business and revenue performance.
• Analyze advertising revenue and monetization performance, particularly through Google Ad Manager and programmatic advertising platforms. Monitor revenue trends, website/app traffic, impressions, fill rates, CPM/eCPM, click-through rates, and other monetization indicators to identify the key drivers behind revenue growth, decline, or unusual performance changes.
• Conduct root-cause and trend analysis by examining historical performance, traffic sources, audience behavior, advertising inventory, campaign performance, and monetization efficiency. Translate findings into actionable recommendations that can improve revenue generation and overall commercial performance.
• Provide data and analytical support to Commercial and Sales teams by conducting advertiser and client segmentation, identifying revenue opportunities, supporting commercial proposals with relevant data, and providing insights that strengthen sales strategies and client presentations.
• Review and evaluate advertising campaign performance against agreed targets and KPIs. Analyze campaign delivery, audience reach, engagement, revenue contribution, and overall effectiveness, and provide recommendations for campaign optimization and future commercial initiatives.
• Support sales forecasting and revenue planning by analyzing historical data, current pipeline performance, market trends, seasonality, and advertiser behavior. Assist stakeholders in developing realistic revenue projections and identifying potential risks or opportunities against targets.
• Develop, maintain, and continuously improve dashboards and reporting tools used by management, Sales, Commercial, and other stakeholders. Ensure dashboards provide accurate, timely, and easy-to-understand information for business decision-making.
• Establish and maintain consistent data definitions, reporting standards, and KPI methodologies across departments. Ensure that business teams are aligned on how revenue, traffic, campaign, customer, and commercial metrics are calculated and interpreted.
• Support the development and accumulation of reliable data assets by organizing, documenting, validating, and maintaining commercial and operational datasets. Work to improve data accessibility, accuracy, consistency, and usability for future reporting and analysis.
• Collaborate closely with the Shanghai Data Team on reporting, analytics, troubleshooting, and other data-related requirements. Serve as mutual backup to ensure continuity of critical reporting and analytical functions across locations.
• Participate in the team's on-call rotation and provide timely support for urgent data, dashboard, reporting, or commercial analytics concerns. Investigate data discrepancies or reporting issues and coordinate with relevant teams until resolution.
• Communicate analytical findings to key stakeholders by translating complex datasets into clear business insights, highlighting performance trends, potential risks, revenue opportunities, and recommended actions to support data-driven decision-making.

Requirements

• 4+ years of experience in data analysis, preferably in digital media or advertising revenue analysis
• Expert in SQL; proficiency in BI tools (Looker/Tableau/Power BI)
• Understanding of the programmatic advertising ecosystem (Google Ad Manager, AdSense, Header Bidding/Prebid) is a plus
• Strong data sense and clear logic; able to deliver actionable business insights independently