Overview
Responsibilities:
- Automated collection of analytical data from heterogeneous sources and their display on centralized BI dashboards
- Regular analysis of the main product metrics for outliers and negative trends
- Organization of A / B tests, validation of the quality of their conduct and calculation of results
- Analytical support for the generation of product hypotheses
- Analysis of raw data arrays to identify growth points, or implicit dependencies of metrics
Required Qualifications:
- Higher education (technical/mathematical/economic education)
- Excellent knowledge of Google Sheet (free handling of pivot tables)
- Basic knowledge of MS SQL
- Knowledge of mathematical statistics is critical
- English level is B1+
- Basic knowledge of Python
- Experience with BI-tools (Tableau, SuperSet, etc)
Benefits:
- Vacation 28 calendar days per year
- 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave
- Bonuses up to $5000 for recommending successful applicants for positions in the company
- 50% payment for professional training, international conferences, and meetings
- Corporate discount for English lessons
- Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children)
- Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years
- Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Technologies:
- Google Sheet
- MS SQL
- Python
- BI-tools
- Tableau
- SuperSet
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