⚠︎ Архивная вакансия
Эта вакансия была перемещена в архив. Возможно она уже не актуальна и рекрутер больше не принимает отклики на эту вакансию. Вы можете  найти актуальные похожие вакансии

Product Analyst

Прямой работодатель  Dostavista Global ( dostavista.ru )
Moscow, Россия
Аналитика, Data Science, Big Data • Data scientist • Аналитик • Product аналитика • Python • SQL • Ecommerce
15 января
Удаленная работа • Работа в офисе
Опыт работы от 3 до 5 лет
150 000 ₽
Работодатель  Dostavista Global
Описание вакансии


  • Calculate and monitor key product metrics, create and support dashboards
  • Take part in hypothesis testing, results analysis and presentation
  • Investigate anomalies in key product metrics, interpret results of monitoring
  • Identify and report on cases of missing data, data inconsistency bugs

Technical requirements

  • 3+ years of experience in field of Data Analytics/Product Analytics
  • Strong knowledge of conventional statistical techniques in data analysis
  • Fluent with SQL and are able to write complex and performant queries with no assistance
  • Able to clean a dataset and conduct a data analysis in Python or similar language
  • Experience with experimentation and A/B testing methodology
  • Experience with Tableau
  • Ability to formalize and visualize the results of the data analysis
  • Experience with predictive modeling

Non-technical requirements

  • Written English
  • Attention to detail and accuracy

What 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;
  • Care: fruits and vegetables, coffee and tea, voluntary health insurance with dentistry and massage;
  • Education: own library, paid courses and conferences;
  • Recreation: PS4, Nintendo Switch, Board games, office quizzes, holiday parties.

Аналитика, Data Science, Big DataData scientistАналитикProduct аналитикаPythonSQL
Отрасль и сфера применения
Уровень должности