Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 6


A Senior Data Analyst with experience in:

- generating reports and dashboards to track key product and business metrics (LTV, churn rate, cohorts, retention, a-ha moment etc.)
- analyzing product metrics, funnels, and providing recommendations
- ensuring data accuracy and reliability by assessing data quality, identifying anomalies, and resolving inconsistencies
- working with SQL / NOSQL databases, DWH's, data lakes
- searching for insights in the data
- spotting product weaknesses and areas for improvement
- identifying trends, patterns, and customer behavior
- creating and validating hypotheses based on data analysis
- using Python and it's main analytical frameworks and libraries for developing algorithms, data models
- adopting new commercial and open-source technologies to solve tasks at hand 

Solid knowledge and expertise in product / data analytics, marketing and business

Preferred tech stack: Python , SQL, Tableau (but can quickly master and work with different technologies if needed)