Data Analyst
- Level
- Mid
- Work type
- Remote · India only
Not stated in the posting: salary, visa.
Open. First seen 6 October 2026.
About the role
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.
Mrsool's standard text
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
Requirements
What Are We Looking For❓
- 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
Who Will Excel❓
- 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
Benefits
What We Offer You❗
- Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and offers remote environments.
- Competitive Compensation: Our compensation packages are highly competitive and include potential share options for certain roles.
- Personal Growth and Development: We are committed to your personal and professional growth, providing regular training and an annual learning stipend to help you advance your career in a dynamic environment.
- Autonomy and Mentorship: You'll enjoy a high degree of autonomy in your role, supported by mentorship and ambitious goals that pave the way for both your success and the company's growth.
What this role asks for
Particular to this role
Looker · Metabase · Tableau · Trino
Rare in Mrsool's other 7 open postings.
Standard for data / BI analysis roles
Python · SQL
Common in data / BI analysis postings at any company.
93% of this description is written for the role. The rest is Mrsool's standard text, folded away below.
Read against Mrsool's other open postings on this site.
The team: Technology HIRES STEADILY
This role is one of 6 open in Technology. 1 was posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (5 of 6), SQL (4 of 6), CI/CD (3 of 6), Generative AI (3 of 6), Golang (3 of 6), Ruby (3 of 6), Kafka (2 of 6)
OTHER ROLES ON THIS TEAM
- Site Reliability Engineer II posted Sep 18
- Data Engineer II posted Sep 17
- Data Scientist II posted Sep 16
- SDE III Backend Engineer posted Sep 16
- Engineering Manager posted Aug 10
From the team and dates on Mrsool's own job board.
Salary context
41 other open postings titled Data Analyst state a salary: median USD 92,300 to USD 125,400 a year.
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