Data Analyst

MRSOOL | مرسول

. Own end-to-end analysis across the supply domain: scope questions, pull and validate data, run analyses, and deliver clear answers .

Posted 10/6/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and performance monitoring within the supply domain, utilizing advanced SQL and Python for complex data queries and analyses. Capable of translating analytical findings into actionable recommendations for product and operations teams.

Highest-signal resume keywords

Advanced SQLPython ProficiencyStatistical AnalysisSupply-Side Marketplace DynamicsGeospatial Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisHypothesis TestingTime-Series ForecastingRoot Cause AnalysisData Quality Assurance

Soft Skills

Analytical JudgmentCommunication Skills

Tools & Technologies

TrinoPrestoMetabaseLookerTableau

Industry Keywords

MarketplaceLogisticsRide-HailingOn-Demand DeliveryCourier Analytics

Tech Stack

Tools & technologies

PostGISPythonSQLTableau

About the role

Key responsibilities & impact

Own end-to-end analysis across the supply domain: scope questions, pull and validate data, run analyses, and deliver clear answers
Monitor and diagnose supply performance, including assignment speed, acceptance, courier availability, and delivery success
Identify root causes behind changes in supply performance
Analyze the courier lifecycle from onboarding and activation through retention, reliability, and earnings
Evaluate product changes, incentives, and operational initiatives using experiments and impact analysis
Own data quality for supply metrics and implement checks to detect discrepancies and anomalies early
Build and maintain source-of-truth dashboards
Enable self-serve reporting and train teams to use dashboards
Translate findings into recommendations for product, operations, and leadership

Requirements

What you’ll need

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, including writing and optimizing complex queries on large event data and independently validating results
Working proficiency in Python for analysis beyond SQL
Solid statistics and experimentation fundamentals, including 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 structure ambiguous operational questions into analyses and reach clear answers
Strong analytical judgment, including challenging assumptions and assessing data quality
Excellent communication skills for explaining complex findings to operations and non-technical teams
Direct experience with dispatch, matching, or courier/fleet supply analytics (preferred)
Master's degree in a quantitative field (preferred)
Geospatial analysis, including H3, geohash, or PostGIS (preferred)
Time-series forecasting (preferred)
Experience with Trino/Presto and BI tools such as Metabase, Looker, or Tableau (preferred)
Experience in a high-growth, fast-paced environment (preferred)

Benefits

Comp & perks

Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and offers remote environments.
Competitive compensation packages
Potential share options for certain roles
Regular training
Annual learning stipend
High degree of autonomy
Mentorship
Ambitious goals supporting professional and company growth