Если вы раньше входили через Google, сбросьте пароль для своей Gmail-почты через кнопку «Забыли пароль?» на экране входа. Затем войдите по email и новому паролю.
Если аккаунта ещё нет, зарегистрируйтесь с Gmail-почтой — после подтверждения почты мы предложим задать пароль.
Что нового
Загружаю обновления...
Что нового
Загружаю обновления...
Работа найдется быстрее с подпискойКандидат найдётся быстрее с подпиской
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
Office role with relocation support
JetBrains creates developer tools that automate routine tasks and improve production efficiency. The company develops TeamCity, a CI/CD platform designed to automate software build, test, and deployment processes, which is currently being modernized to support AI-native development.
задачи
Collaborate with product managers, developers, and technical experts as an integrated member of the product team;
Perform ad hoc data analysis to support product decisions and validate feature development assumptions;
Establish and promote best practices for event logging design, data consistency, and data quality;
Maintain and develop the product metrics framework to evaluate performance;
Build and maintain dashboards using BI tools like Metabase or Tableau;
Evaluate outcomes of product releases and analyze post-launch performance;
Conduct research analytics to investigate hypotheses and explain metric fluctuations;
Design and implement ETL pipelines and data models to enable end-to-end analytics coverage.
требования
Expertise in statistics and data analysis;
Extensive experience with SQL and Python;
At least two years of experience with Tableau, Power BI, or other BI tools;
Strong data visualization and interpretation skills;
Ability to operate independently and manage stakeholder expectations;
Proactive approach to identifying product improvements and addressing challenges;
Ability to distill complex analyses into clear, actionable recommendations;
Solid foundation in statistics, including sampling techniques and error understanding;
Data engineering skills, including experience designing ETLs and data pipelines;
Nice to have: experience working with developer tools, DevOps products, or CI/CD workflows, background in A/B testing or experiment design, experience leveraging AI tools to accelerate analytics workflows.