Data Analyst
New
M
MrsoolOn-demand delivery
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years in an analytical role at a marketplace, logistics, ride-hailing, or on-demand delivery company
- Required Skills
- PythonSQL
Requirements
- Have 3+ years in an analytical role at a marketplace, logistics, ride-hailing, or on-demand delivery company.
- Hold a bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a similar quantitative field.
- Use advanced SQL to write and optimize complex queries on large event data and validate results independently.
- Have working proficiency in Python for analysis beyond SQL.
- Apply statistics and experimentation fundamentals, including hypothesis testing and power, and understand network effects in marketplace tests.
- Understand supply-side marketplace dynamics, including utilization, courier earnings, acceptance behavior, and the trade-off between speed and cost.
- Structure ambiguous operational questions into analyses and clear answers.
- Assess data quality, challenge assumptions, and question conclusions not supported by the numbers.
- Explain complex findings to operations and non-technical teams.
- Direct experience with dispatch, matching, or courier/fleet supply analytics is a plus.
- A master's degree in a quantitative field is a plus.
- Geospatial analysis (H3, geohash, PostGIS), time-series forecasting, and experience with Trino/Presto or BI tools such as Metabase, Looker, or Tableau are preferred.
Responsibilities
- Own end-to-end analysis across the supply domain, from scoping questions and validating data to delivering 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 through experiments and impact analysis.
- Maintain data quality for supply metrics and create checks to catch discrepancies and anomalies.
- Build and maintain source-of-truth dashboards, enable self-serve reporting, and train teams to use the dashboards.
- Translate findings into recommendations for product, operations, and leadership.
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