Data Analyst

Mrsool · Remoto · Remote

Recebendo candidaturas · conferida em 09/11

Ficha da vaga

Modelo
Remoto
Onde aceita
Não informado
Senioridade
Senioridade não informada
Salário
Salário não divulgado

Fonte: Workable · Ver vaga original →

  • analise dados
  • data visualization
  • marketplace
  • sql

Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.

Sobre a vaga

Mrsool is seeking a Data Analyst to work across dispatch, courier experience, and supply operations, analyzing marketplace dynamics and courier performance. The role involves end-to-end data analysis, monitoring supply performance, evaluating product changes, and maintaining source-of-truth dashboards.

O que você vai fazer

  • 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

Descrição completa da vaga

Who Are We❓ 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.

The Job in a Nutshell💡

Data Analyst joining Mrsool will be working across dispatch, courier experience, and supply operations. You will own the numbers behind how orders get assigned, how couriers join, stay, and earn on the platform, and whether the right supply is in the right place to meet demand. You'll diagnose where delivery success is lost, size the opportunities to recover it, and measure whether the changes we ship actually work. This role requires strong analytical thinking, a solid grasp of marketplace dynamics, and the ability to move between deep-dives and day-to-day operational decisions. If you're eager to take on this rewarding opportunity, we'd love to hear from you. Apply today!

What You Will Do💡 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

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Aceita candidatos de onde?
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É remota?
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