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Product Analyst

inDrive • Courier Services • Ride Hailing • Python • SQL • Tableau • Plotly • A/B Testing • 2 days ago

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Salary

≈ $36k – $82k per year (Estimated)

Location

Hybrid (Tbilisi, Georgia)

Seniority

Middle · 3+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 24, 2026. inDrive scores A on the Alion truth index.

Overview

Company

Impact

Profile match

inDrive

InDrive is a global mobility and urban services platform best known for its ride-hailing app, which operates on a unique peer-to-peer pricing model. Founded in Siberia in 2012 and now headquartered in the United States, the platform allows passengers and drivers to negotiate and agree upon fares directly rather than relying on automated algorithms. Beyond ride-sharing, the company has expanded its offerings across dozens of countries to include intercity transportation, freight delivery, courier services, and local task assistance.

indrive.com • HQ: Mountain View, United States • Local Services Marketplaces • Courier Services • Ride Hailing • 201-500 employees • Est. 2012

Tech stack of inDrive

Backed by General Catalyst, Hala Capital, Leta Capital

To be added

Key Responsibilities

Select and calculate product and business metrics when implementing projects/product features
Analyze key metrics to identify deviations, growth opportunities, and product development directions
Assess potential profit from new projects or product features
Maintain documentation of the analytics system in the company's knowledge base as part of its product
Conduct A/B testing, including developing conditions and interpreting results
Make recommendations for improving the product and find optimal solutions to improve the convenience of interaction between the user and the product
Interact with all teams of the Data Department to optimize data flows, control the quality and integrity of product data, create data marts for the product

Add extra Responsibilities if needed, otherwise delete this paragraph

Skills, Knowledge and Expertise

3+ years of experience in data analytics or data science
Analytical mindset: structured and critical thinking, the ability to find a balance between the resources spent and the effect on the business
Strong mathematical background with an emphasis on mathematical statistics, optimization theory, time series and causal inference
Proficiency in Python and data analysis libraries
Proficiency in SQL: ability to work with large amounts of data, write and optimize complex queries, create analytical data marts
Experience in creating BI reports: Plotly / Redash / Tableau

Add extra Requirements if needed, otherwise delete this paragraph

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