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Sr. Specialist - Ad Ops Insights

DeliveryHero

Dubai, Dubai, United Arab Emirates permanent

Posted: February 24, 2026

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Quick Summary

This is a regional role that drives performance excellence and revenue optimization across all markets by conducting deep performance analysis and translating insights into clear, actionable recommendations for the retai

Job Description

talabat is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.

Role Summary

This is a regional role that drives performance excellence and revenue optimization across all markets by conducting deep performance analysis and translating insights into clear, actionable recommendations for the retail media function.

This role ensures retail media ad campaigns and overall performance decisions to drive country performance are dependent on data markers and insights. The role elevates campaign effectiveness, partner value, and revenue growth at scale. It requires advanced technical expertise, problem-solving, and insight generation across diverse markets. They will be responsible for developing frameworks, driving optimization standards, and identifying incremental revenue opportunities while ensuring that campaigns deliver measurable value and managing the performance of local teams & identifying areas of improvement that drive impact for the business.

What’s On Your Plate?

• Provide regional insights to local Retail Media Leads & regional partnerships teams to inform decision-making and improve performance across advertiser segments.

 

• Detect early risks of under-delivery on revenue targets and proactively recommend optimization strategies to ensure delivery.

 

• Drive test-and-learn initiatives and collaborate with Product & Tech teams to pilot new solutions.

 

• Produce regional post-campaign reviews and insights for both advertisers and internal stakeholders, ensuring learnings cascade across markets.

 

• Troubleshoot cross-market campaign issues and escalate to appropriate internal stakeholders when necessary.

• Identify monetization gaps, revenue leakage, pacing issues, and inventory underutilization.

• Develop structured deep-dive diagnostics with prioritized action plans for markets.

• Standardize measurement frameworks across markets 

• Utilize predictive modeling and segmentation analysis to forecast performance and identify growth cohorts.

• Build and maintain regional dashboards tracking revenue, delivery health, and partner performance.

• Create executive-ready summaries translating complex data into clear business actions.

• Ensure KPI definitions and reporting standards are aligned regionally & centrally.

• Build execution roadmaps with markets around highest-impact opportunities.

• Drive prioritization and accountability across multiple stakeholders.

What we ordered

• Bachelor’s degree in Statistics, Business Analytics, Engineering, Economics, or related field.

• 4-5 years of experience in data analytics, retail media, digital advertising, or e-commerce.

• Expertise in retail media platforms, programmatic buying, attribution models, and campaign optimization levers.

• Strong commercial exposure and understanding of revenue drivers.

Experience in FMCG and/or multi-market environments preferred.

• Advanced proficiency in Tableau, Power BI, or Looker.

• Strong Excel/Google Sheets modeling.

• Ability to interpret complex datasets and translate into actionable insights.

• Persuasive communicator with the ability to present insights and recommendations to senior stakeholders across markets.

• Collaborative mindset, experience working with cross-functional and cross-country teams preferred. 

• Strong stakeholder management and project prioritization skills

• Fluent English speaker required; Arabic language proficiency preferred.

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