Position: Data analyst
Category: Data Analyst
English level: upper
Years of experience: 9


• Complete creating analytics from scratch.
• Supporting the product, marketing, and C-level teams on all 
issues of analytics.
• Complex researching (user’s behavior and user journey, user 
segmentations, etc) 
• Developing and maintaining the system of custom dashboards
and reporting
• Launch and calculate the economics model (revenue model, 
predicted revenue and users model, PNL-revenue model, churn 
prediction, etc.) 
• Automation of daily tasks, automation of communication, 
development, and implementation of tools on health tracking 
analytics systems.
• Hypothesis generation, design, launch, and analysis of A/B tests.
• Metric engineering
• DWH engineering, creating and supporting of ETL -process
• Creating and support of data-collection and event-tracking
process
• Managing and mentoring the analytics team
• Creating a knowledge base for all analytical domains and teams 
in one place.

Languages:
SQL, Python, DAX, M, JS 
DB, 

DWH:
Google Big Query, Snowflake, 
MySQL, MongoDB, Hadoop

BI & Analytical tools:
Power BI, Tableau, GDS, Looker, 
GA(U360), GA4, Firebase,
AppsFlyer, Hotjar, Segment,
Quantum Metric, etc