Data Analyst

Job Description

Designation: Data Analyst

Office Location: Philippines

Position Description: We are looking for a data-driven and analytical Product Analyst to join our AdTech Product team. The ideal candidate will play a key role in driving product strategy and optimization through data insights, experimentation, and performance analysis across advertising platforms. You will work closely with Product Managers, Data Science, Engineering, Business, and Customer Success teams to improve advertising products, maximize campaign performance, and drive business growth.

Key Responsibilities

• Analyze large-scale advertising, user, campaign, auction, and supply-side datasets to identify performance trends, revenue opportunities, product gaps, and optimization initiatives.
• Build and maintain dashboards, automated reports, anomaly detection systems, and performance monitoring frameworks that provide timely and actionable insights to Product, Commercial, Operations, and Executive teams.
• Partner closely with Product Managers to evaluate feature performance, measure business impact, prioritize product enhancements, and support data-driven roadmap decisions.
• Conduct deep-dive analyses on campaign performance to identify optimization opportunities across targeting, bidding strategies, budget allocation, audience segmentation, creatives, inventory sources, and conversion performance.
• Analyze auction dynamics and bidding behavior, including bid density, win rates, clearing prices, supply quality, and marketplace competitiveness to improve DSP efficiency and advertiser outcomes.
• Monitor and optimize supply performance by evaluating inventory quality, publisher effectiveness, traffic patterns, viewability, engagement metrics, and monetization efficiency across supply partners.
• Perform fraud detection and traffic quality analysis by identifying invalid traffic (IVT), click fraud, bot activity, domain spoofing, ad stacking, abnormal user behavior, and other forms of advertising fraud. Partner with Engineering and Operations teams to implement mitigation strategies and improve platform trust and safety.
• Conduct funnel analysis, cohort analysis, attribution analysis, audience analysis, and user segmentation to uncover growth opportunities, retention drivers, and advertiser success factors.
• Monitor advertising ecosystem trends, auction dynamics, audience performance, and monetization metrics.
• Support forecasting, business planning, and revenue optimization initiatives through quantitative analysis.
• Collaborate with Engineering and Data teams to define data requirements, event tracking, and measurement frameworks.
• Translate complex data findings into clear recommendations for technical and non-technical stakeholders.

Required Qualifications

• Bachelor's degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 2+ years of experience in Product Analytics, Business Analytics, Data Analytics or a similar role within AdTech, MarTech, Digital Advertising, or Internet companies.
• Strong proficiency in SQL with experience handling large datasets.
• Experience with BI and visualization tools such as Tableau, Power BI, Looker, or Metabase.
• Strong understanding of statistical concepts, experimentation methodologies, and hypothesis testing.
• Excellent analytical thinking and problem-solving skills.
• Strong communication skills with the ability to influence product decisions using data.

Preferred Qualifications

• Experience working with DSPs, SSPs, Ad Exchanges, DMPs, CDPs, or Programmatic Advertising platforms.
• Understanding of digital advertising metrics, attribution models, audience targeting, and bidding strategies.
• Familiarity with mobile advertising, CTV, RTB ecosystems, privacy frameworks, and identity solutions.
• Exposure to data warehouses such as BigQuery, Snowflake, Redshift, or Databricks.
• Knowledge of machine learning concepts and predictive analytics is a plus.

Key Skills

• Product Analytics
• SQL & Data Modeling
• A/B Testing & Experimentation
• Dashboarding & Data Visualization
• AdTech & Programmatic Advertising
• Funnel & Cohort Analysis
• Revenue Optimization
• Business Intelligence
• Stakeholder Management

Work Environment Details:

About RevX:

RevX is a global mobile programmatic DSP that enables brands to drive high-performance,targeted app growth campaigns across international markets. Powered by advanced machine learning and its proprietary optimization engine, Intellibid, RevX delivers real-time, cross-channel campaign optimization across mobile, CTV, social media, and walled garden ecosystems such as Meta, TikTok, and Google Ads. With over a decade of AdTech expertise, RevX helps advertisers acquire and re-engage high-intent users, improving efficiency, scale, and ROI. RevX is ranked as a top platform in Appsflyer's Performance Index 2025 (#1 for Remarketing iOS, Gaming) and named a Top Media Partner in Singular's ROI Index 2026, trusted by leading global advertisers. RevX is a member of the Affle Group, with Affle 3i Ltd listed on the Indian stock exchanges (BSE: 542752 & NSE: AFFLE).

Learn more athttps://revx.io

About Affle:

Affle is a global technology company enabling AI-led solutions in mobile advertising. Affle enables advertisers to optimize targeting, personalize user engagement and maximize ROI by combining proprietary data, deep audience insights and advanced generative AI capabilities. With our market-leading portfolio of tech platforms, we empower brands to move beyond automation toward next-gen experiences with measurable impact. Our consumer intelligence platforms deliver personalized solutions at scale, helping marketers connect with audiences in more relevant and meaningful ways. With innovative tech-powered capabilities, we drive performance across every stage of the mobile marketing journey. We are augmenting our authentic intelligence with AI-powered agents and algorithms, going beyond efficiency to adapt in real time and influence outcomes that matter. Affle 3i Limited is listed on the NSE (AFFLE) and BSE (542752).

For more information, visit –www.affle.com