Product Analyst

Posted 3 Days Ago
Hiring Remotely in Georgia, USA
Remote or Hybrid
Mid level
Transportation
The Role
Analyze product and business metrics, evaluate feature profitability, conduct A/B tests, and recommend product improvements. The role maintains analytics documentation, collaborates with Data Department teams, ensures product data quality, optimizes data flows, and creates analytical data marts and BI reports using Python, SQL, and visualization tools.
Summary Generated by Built In
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

About
inDrive is a global tech company on a mission to challenge injustice through fair choices. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 400M installs across 47 countries.Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. We are committed to having a positive impact on people’s lives both through our core business, which supports local communities via a fair pricing model; and through the work of our impact programs. Ready to ignite your inner drive?

Skills Required

  • 3+ years of experience in data analytics or data science
  • Analytical mindset with structured and critical thinking
  • Ability to balance resources spent against business impact
  • Strong mathematical background emphasizing mathematical statistics, optimization theory, time series, and causal inference
  • Proficiency in Python and data analysis libraries
  • Proficiency in SQL, including complex query optimization and analytical data mart creation
  • Experience creating BI reports with Plotly, Redash, or Tableau
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The Company
HQ: Mountain View, CA

What We Do

inDrive is a global IT and transportation platform inDrive is one of the world’s fastest growing online ride-hailing services. Its services are available in over 749 cities in 46 countries throughout the world. The Company’s app has been downloaded over 150 million times. inDrive offers other services, including intercity transportation, freight and cargo services, as well as delivery services in different markets of operations. inDrive is based in Mountain View, California, and operates regional hubs in the Americas, Asia, the Middle East, Africa and the countries of the CIS, and employs over 2,000 people. In early 2021, inDrive achieved unicorn status after closing a $140m investment round with Insight Partners, General Catalyst, and Bond Capital, which valued the company at $1.23 billion.

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