Data Analyst

This is a fully remote position, open to applicants in India.

📋 Description

• Take charge of comprehensive analysis in the supply domain: define questions, gather and verify data, conduct analyses, and provide clear insights.

• Track and evaluate supply performance metrics, including assignment speed, acceptance rates, courier availability, and delivery success rates.

• Determine the root causes of fluctuations in supply performance.

• Analyze the entire courier lifecycle from onboarding and activation to retention, reliability, and earnings.

• Assess product modifications, incentives, and operational initiatives through experiments and impact assessments.

• Ensure the accuracy of supply metrics data and implement measures to identify discrepancies and anomalies at an early stage.

• Create and sustain source-of-truth dashboards.

• Facilitate self-service reporting and train teams on how to utilize dashboards effectively.

• Convert findings into actionable recommendations for product development, operations, and leadership.

⛳️ Requirements

• A minimum of 3 years in an analytical position within a marketplace, logistics, ride-hailing, or on-demand delivery organization.

• A Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline.

• Proficient in advanced SQL, capable of writing and optimizing complex queries on large event datasets and independently validating results.

• Working knowledge of Python for analyses that extend beyond SQL.

• Strong foundation in statistics and experimentation principles, including hypothesis testing, power analysis, and understanding network effects in marketplace testing.

• Familiarity with supply-side marketplace mechanics, such as utilization, courier earnings, acceptance behavior, and the balance between speed and cost.

• Ability to transform ambiguous operational queries into structured analyses and arrive at clear conclusions.

• Strong analytical judgment, including the ability to challenge assumptions and evaluate data integrity.

• Exceptional communication skills for articulating complex findings to both operational and non-technical teams.

• Direct experience with dispatch, matching, or courier/fleet supply analytics is preferred.

• A Master's degree in a quantitative field is preferred.

• Experience in geospatial analysis, including H3, geohash, or PostGIS is preferred.

• Knowledge of time-series forecasting is preferred.

• Familiarity with Trino/Presto and BI tools such as Metabase, Looker, or Tableau is preferred.

• Experience in a high-growth, fast-paced environment is preferred.

🏝️ Benefits

• Inclusive and Diverse Environment: We cultivate an inclusive and diverse workplace that values innovation and offers remote work options.

• Competitive compensation packages.

• Potential share options for select roles.

• Regular training opportunities.

• Annual learning stipend.

• A high degree of autonomy.

• Mentorship programs.

• Ambitious goals that support both professional and company growth.