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Lead Product Analyst

Прямой работодатель  Dostavista Global ( dostavista.ru )
Москва, Россия
Сеньор • Тимлид/Руководитель группы
Аналитика, Data Science, Big Data • Product аналитика • Аналитик • Data Analysis
4 июня
Удаленная работа
Опыт работы более 5 лет
от 200 000 ₽
Работодатель  Dostavista Global
Описание вакансии

Responsibilities:

  • Lead and grow a team of 7+ analysts and build strong relationships with senior stakeholders
  • Develop a vision and roadmap for analytics across a functional group
  • Prioritize, through data, product, or process areas needing investigation and analysis
  • Organize key product metrics monitoring
  • Organize hypotheses testing processes, verify results of experiments
  • Collaborate with Product Management and Leadership Team in making product and business decisions based on data insights and experiments analysis
  • Initiate various RnD tasks related to routing and couriers assignment algorithms, pricing, couriers and clients behavior investigations, etc

Requirements:

  • Experience managing a team of Data/Product analysts (7+ members)
  • Experience developing insights and analytics strategies to set direction
  • Experience working with stakeholders at all levels
  • 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 data analysis in Python or a 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 algorithms optimization would be a plus
  • Attention to detail and accuracy
  • A passion for people management
  • English Upper-Intermediate and higher

Terms:

  • 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.

Специализация
Аналитика, Data Science, Big DataProduct аналитикаАналитик
Отрасль и сфера применения
Data Analysis
Уровень должности
СеньорТимлид/Руководитель группы