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Product analyst

Прямой работодатель  EWA Learn languages ( appewa.com )
Миддл • Сеньор
Аналитика, Data Science, Big Data • Аналитик • Product аналитика • Python • Образование
12 июня
Удаленная работа
Опыт работы от 3 до 5 лет
Работодатель  EWA Learn languages
Описание вакансии

EWA Learn languages is an international company, with headquarters in Singapore. We have been developing our EdTech app (iOS&Android) since 2017, with over 70 million users registered on our platform and 500 000 active users daily. Our app has been translated into 34 languages.

We help people around the world learn languages in an effective, easy, and fun way — through snippets of popular and beloved movies, TV shows, and memes.

 

As a part of product team you will be:

  • Working with big data;
  • Exploring user behavior and searching for insights, correlation, and growth points;
  • Taking part in launching and analyzing experiments and improving our A/B testing system;
  • Creating clear graphs and dashboards;
  • Constructing a product metrics system and analyzing product features and hypotheses.

 

You have:

  • At least 2 years of strong experience in product analytics;
  • Solid experience in working with A/B tests, as well as interpreting and validating results;
  • Knowledge of Python (Pandas, Numpy, Scipy, Matplotlib, Request packs);
  • Confident knowledge of SQL and knowing how to write complex requests to databases;
  • Understanding of math stats and experience of its application;
  • Experience in working with visualization data systems;
  • Knowledge of working with Git and ClickHouse will be an advantage.

 

Exceptional candidates will have...

  • Extensive experience in fast-growing, consumer-facing, data-driven startups, ideally mobile app based.

We offer:

  • Work in a fast-growing EdTech app, in a friendly and transparent work culture, with no bureaucracy or complex hierarchy;
  • Income in USD, remote work;
  • 28 calendar days of vacation, 100% coverage of 30 sick leave days per year after completing a probation period;
  • Product culture, working with SCRUM methodology, a modern technology stack;
  • You will make a direct impact and see the results of your work.

 

Our hiring process will be:

  • Technical interview and lifecoding;
  • Technical task (python);
  • Final meeting with a team.

Специализация
Аналитика, Data Science, Big DataАналитикProduct аналитикаPython
Отрасль и сфера применения
Образование
Уровень должности
МиддлСеньор