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Open nowFirst seen 2 hours ago

Product Analyst

inDriver160 open roles

Where
Tbilisi, Tbilisi Capital District
Work mode
Hybrid
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Your applicationOpen nowProduct AnalystinDriver · Tbilisi, Tbilisi Capital District

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on inDriver's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. inDriver postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 2 hours ago

inDriver median: 2 days open

The posting

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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