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
The company operates a well-established consumer platform that provides discounts and perks to millions of users in the UK. It is currently scaling internationally and transitioning into a tech-led organization focused on data-driven product development.
задачи
Apply quantitative analysis and storytelling to understand user interaction with the platform and drivers of behavior;
Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing;
Design, run, and analyze A/B tests and experiments in partnership with product teams;
Define and track meaningful product metrics and ensure consistent measurement across teams;
Build and maintain core data products enabling self-serve insights and faster product decisions;
Conduct deep dives into user journeys, drop-off points, behavior segments, funnel performance, and platform trends;
Collaborate cross-functionally with engineers, data teams, product, commercial, and marketing stakeholders;
Contribute to the Insights Hub and documentation repositories.
требования
Strong SQL skills;
5+ Years of hands-on experience with product analytics in a tech or consumer-app environment;
Experience running and evaluating A/B tests and experimentation frameworks;
Ability to translate business problems into analytical tasks and communicate actionable insights;
Strong storytelling ability to turn numbers into narratives;
Nice to have: Experience working with large-scale customer behavior datasets, experience in consumer tech, fintech, loyalty platforms, or other high-traffic digital products, Python/R/dbt exposure.