Product Analyst
Confirmed live in the last 24 hours
Smartcat

51-200 employees

AI-powered multilingual content translation and editing platform
Company Overview
Smartcat's AI-driven language platform provides a unique competitive advantage by enabling global enterprises to translate and create content in any format, significantly simplifying global operations. The platform's adaptive AI and access to a vast marketplace of linguists and editors allow for efficient, cost-effective scaling of the editing process. As a trusted partner to 20% of Fortune 500 companies, Smartcat demonstrates industry leadership in facilitating multilingual communication for global businesses.
AI & Machine Learning

Company Stage

Series B

Total Funding

$27.3M

Founded

2016

Headquarters

Boston, Massachusetts

Growth & Insights
Headcount

6 month growth

20%

1 year growth

81%

2 year growth

-25%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Marketing
SQL
Tableau
Python
Power BI
CategoriesNew
Business & Strategy
Data & Analytics
Product
Requirements
  • 2+ years of experience in the Product analytics field
  • Strong SQL knowledge (joins, window functions, query optimization, CTE)
  • Experience with BI systems (Tableau, Power BI, Grafana, Redash, etc)
  • Mathematical and statistical skills for hypothesis testing
  • Considered an advantage: Experience in Marketing analytics
  • Considered an advantage: Python for data analysis
  • Considered an advantage: Basic knowledge of ML
  • Fluent English and Russian
  • A data-driven approach. Ability to justify decisions using concrete metrics
  • Integrity and full commitment
  • Growth mindset
  • Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough
  • Openness to constructive feedback and the opinions and ideas of others
Responsibilities
  • Cover executive team demands by building BI reports to increase experiments amount per quarter X3
  • Help business to achieve X2 growth of NSM within first three months using data insights
  • Cover all crucial marketing team BI demands to increase new End-Customer ARR by 35%