Data Analyst

Step into the world of Mrsool where convenience meets innovation! As one of the largest delivery platforms in the Middle East and North Africa (MENA) region, Mrsool has captivated users with its unique and seamless experience, earning it the highest ratings among all major delivery platforms on both Apple's App Store and Google's Play Store.

What sets Mrsool apart is its commitment to providing an unmatched "order anything from anywhere" experience. Using Generative AI, we analyze customer instructions in real-time and search across 100,000+ restaurants and stores to find exactly what they need. Our cutting-edge technology, combined with a vast fleet of dedicated on-demand couriers, ensures fast and reliable delivery no matter how far or remote the location may be.

But don’t just take our word for it Mrsool is consistently rated among the highest of all major delivery platforms, earning top reviews on both the Apple App Store and Google Play Store. Our commitment to a flawless, personalized experience has earned the trust of millions across the region, making Mrsool the go-to delivery app for a generation that demands both convenience and excellence.

Whether it's a late-night craving, a forgotten item, or a special gift for a loved one, Mrsool is here to deliver, quite literally. We take pride in the convenience we offer, empowering you to get what you need when you need it, all at the tap of a button.

• →Own analysis end-to-end across the supply domain: scope the question, pull and validate the data, run the analysis, and land on a clear answer
• →Monitor and diagnose supply performance, including assignment speed, acceptance, courier availability, and delivery success, and identify the root causes behind changes
• →Analyze the courier lifecycle, from onboarding and activation to retention, reliability, and earnings
• →Evaluate the impact of product changes, incentives, and operational initiatives through experiments and impact analysis
• →Own data quality for supply metrics, with checks that catch discrepancies and anomalies early
• →Build and maintain source-of-truth dashboards, enable self-serve reporting, and train teams to use them
• →Translate findings into clear recommendations for product, operations, and leadership

• 3+ years in an analytical role at a marketplace, logistics, ride-hailing, or on-demand delivery company
• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a similar quantitative field
• Advanced SQL, with the ability to write and optimize complex queries on large event data and validate results independently
• Working proficiency in Python for analysis beyond SQL
• Solid statistics and experimentation fundamentals: hypothesis testing, power, and awareness of network effects in marketplace tests
• Understanding of supply-side marketplace dynamics, including utilization, courier earnings, acceptance behavior, and the trade-off between speed and cost
• Ability to break an ambiguous operational question into a structured analysis and land on a clear answer
• Strong analytical judgment: challenge assumptions, assess data quality, and push back on conclusions the numbers don't support
• Excellent communication, with the ability to explain complex findings to operations and non-technical teams

• Direct experience with dispatch, matching, or courier/fleet supply analytics
• Master's degree in a quantitative field
• Geospatial analysis (H3, geohash, PostGIS)
• Time-series forecasting
• Experience with Trino/Presto and BI tools such as Metabase, Looker, or Tableau
• Experience in a high-growth, fast-paced environment