About UsMedia.net is one of the world's leading companies in the Contextual Advertising space that provides a wide range of advertising and traffic monetization solutions. Since its founding, Media.net has constantly broken new ground in building innovative contextual advertising solutions.While our HQ is in Dubai, our employees are spread across key operation centers in New York, Los Angeles, Dubai, Zurich, Mumbai and Bangalore. Media.net is both large and small! Its got the culture of a startup with the stability and resources of a larger organization. We have a flat hierarchy, great perks and benefits, and an amazingly progressive culture. About the TeamThe Bidder platform processes over 5 billion ad impression requests daily from publishers across the globe. It determines whether an impression should be purchased and calculates its value using advanced machine learning models before submitting bids in real-time auctions. Multiple teams within the Bidder ecosystem continuously run A/B tests to optimize bidding strategies, model performance, revenue, and profitability.Once an auction is won, the Ad Learning team determines the most relevant advertisement to display based on publisher, page content, and historical performance data. Leveraging sophisticated machine learning models, the team continuously improves ad selection and monetization outcomes through experimentation and data-driven optimization. As a Data Analyst, you will work at the intersection of business, analytics, and machine learning, helping drive strategic decisions that directly impact company revenue and profitability. What You'll Be Doing
Monitor and analyze business, customer, and system performance metrics across the advertising ecosystem.
Develop and manage reporting frameworks that provide actionable insights to stakeholders and leadership teams.
Analyze large-scale datasets to identify trends, opportunities, and inefficiencies within the Bidder and Ad Learning funnels.
Evaluate A/B test performance and provide data-driven recommendations to improve model outcomes and revenue generation.
Validate revenue reporting across multiple systems and ensure profitability calculations are accurate and reliable.
Support the development and maintenance of Profit & Loss reporting frameworks and business financial analysis.
Connect data across multiple teams and systems to create a coherent narrative that supports strategic decision-making.
Investigate business queries related to data trends, user behavior, event timing, and system performance.
Partner with cross-functional stakeholders to understand business challenges and provide analytical solutions.
Evaluate potential features and enhancements for machine learning models using quantitative analysis.
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