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Data Analyst

Прямой работодатель  Dostavista.global
Миддл • Сеньор
Аналитика, Data Science, Big Data • PowerBI • Tableau • Аналитик • Data Science • Product аналитика • Machine Learning • Python • Azure SQL • MySQL • MSSQL • PostgreSQL • Data Analysis
20 февраля
Удаленная работа
Опыт работы от 3 до 5 лет
от 150 000 до 250 000 ₽
Работодатель  Dostavista.global
Описание вакансии

Dostavista.global - one of the biggest and most technologically advanced players in the global same-day delivery market. We deliver unparalleled convenience to businesses and people, all the while creating millions of self-managed courier jobs. Our couriers, like modern taxi drivers, work via mobile apps on their own schedule. Almost one million students, security guards, waiters, retirees, etc.. use Dostavista to make a living or supplement their income.

Dostavista Data Science team is looking for a talented Data Analyst for a position in a client's squad. Client's squad task is to provide best possible experience to Dostavista clients using web and mobile application. In collaboration with product managers of the squad Data Analyst will have to:

  • Set up and draw conclusions from A/B-tests to improve client UX;
  • Establish and refine A/B-testing methodology;
  • Calculate and monitor key product metrics;
  • Explore data to support hypothesis generation;
  • Create and maintain dashboards using BI suites;


Requirements

  • 2+ years of experience in the field of Data Analytics/Product Analytics;
  • Proficiency with databases (mariadb, clickhouse) and data manipulation, strong knowledge of SQL;
  • Experience creating and managing reports in BI suites (preferably Tableau);
  • Knowledge of mathematical statistics, experience conducting A/B testing;
  • Knowledge of Python for data analysis;
  • Attention to detail and accuracy;
  • Experience with analytics of web/mobile services and applications, experience with Firebase/Amplitude analytics systems.


Non-technical requirements

  • Written English.


What do we offer

  • Ability to work remotely (both partially and completely);
  • Equipment for work: laptop, additional monitor, headset, and so on;
  • Flexible schedule: we work at a convenient time, the main thing is to be in touch during the main working hours;
  • Horizontal structure without strict subordination and bureaucracy;
  • Official employment and salary;
  • The annual indexation of salaries and the feedback from the head;
  • Education: own library, paid courses and conferences.