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
Glovo is a local delivery platform operating in around 65 countries worldwide. It is part of the Delivery Hero Group, headquartered in Berlin, Germany.
задачи
Convert data into decisions that measurably improve customer experience;
Analyze CX metrics such as CSAT, contact rates, resolution times, and compensation trends to identify drivers of customer dissatisfaction, explain causes, and assess costs;
Own the analytical layer that turns operational data into a clear picture of customer experience breakdowns;
Quantify the impact of customer problems and build business cases covering affected customers, compensation costs, contact costs, churn, and the value of solutions;
Monitor signals across the customer journey, identify anomalies before they become incidents, and develop hypotheses;
Build and maintain dashboards and reporting frameworks that provide a reliable, real-time view of CX performance;
Work with Operations, Product, and Commercial teams to connect CX data with upstream causes and help the appropriate team resolve them.
требования
Bachelor’s or Master’s degree in Business Management, Business Intelligence, Business Analytics, Economics, Engineering, Computer Science, Statistics, Mathematics, Physics, or a similar field;
2–4 Years of significant experience in demanding roles such as consulting, start-ups, or investment banking;
Strong problem-solving skills and a hypothesis-driven approach to decision-making;
Strong curiosity and ability to investigate why problems exist and develop solutions;
Strong analytical skills and comfort managing large datasets;
Proficiency in SQL, Python, Google Suite, and visualization platforms such as Tableau or Looker Studio;
Ability to communicate effectively with stakeholders from diverse backgrounds and hierarchical levels;
Fluent spoken and written English;
Nice to have: experience in 100% of the listed areas is not required, as skills can be learned.