product analyst for order experience

Joom; Lisboa; Hybrid; EUR 48,000 - 64,000; Full time

Benefits offered by this job

Remote work 52 days/yr

Health insurance incl. dental

Daily meal allowance

Relocation assistance

English and Portuguese courses

Team-building activities

Job summary

Joom приглашает анализатора данных в Лиссабоне для улучшения оплаты и постпокупочного опыта. Вы будете исследовать путь пользователя, тестировать гипотезы, работать над улучшением AI-чат и автоматизацией аналитики, чтобы поддержать бизнес-решения.

Кандидат должен владеть SQL и Python, иметь опыт статистики и A/B тестирования, а также умение связывать анализ с коммерческими решениями. Преимуществом будет опыт в электронной коммерции и автоматизации анализа.

Qualifications

• Сильные навыки SQL и Python для анализа данных и автоматизации.
• Глубокое понимание математики и опыта в A/B-тестах.
• Опыт применения AI в аналитике и проверке его результатов.
• Способность объяснять сложные темы коллегам разных бэкграундов.

Responsibilities

• Улучшение процесса оплаты и постпокупочного опыта.
• Поиск причин непрактичных платежей и тестирование гипотез.
• Работа над AI-чатом и автоматизацией анализов.
• Изучение путей пользователя от создания тикета до решения.
• Прогноз нагрузки поддержки и оптимизация расходов без снижения качества.
• Подготовка метрик и дизайна экспериментов; автоматизация анализа.
• Разработка метрик платежей, биллинга и поддержки для принятия решений.
• Поиск возможностей роста и приоритетов инвестиций.

Skills

SQL

Python

Statistics

AB-тесты

AI в аналитике

Job description

Описание

Joom is a global cross-border marketplace where millions of people can find a wide range of goods at fair prices. It makes shopping easy and entertaining and provides access to unique products from around the world.

Задачи

• Improve checkout and the post-purchase experience
• Identify reasons users do not complete payments and test hypotheses to simplify the payment journey
• Work with the team to improve AI Chat by finding automation scenarios and assessing resolution quality and business impact
• Research the user journey from ticket creation to resolution, agent performance, and refund decisions
• Forecast support workload, improve the automatic refund model, and identify cost reductions while maintaining service quality
• Help teams select metrics and experiment designs, interpret A/B test results, and automate analysis
• Develop clear, useful payments, billing, and support metrics for decision-making; investigate changes and anomalies
• Identify growth opportunities, estimate initiative impact, and help teams prioritize investments
• Prepare data for AI tools and automate repetitive analysis so colleagues can answer basic questions independently

Требования

• Strong SQL and Python skills for data analysis and automation
• Solid understanding of mathematical statistics and hands-on A/B testing experience, from hypothesis formation to conclusions and recommendations
• Experience applying AI in analytical work, integrating it into daily tasks, verifying its outputs, and identifying automation opportunities
• Independence, business interest, and the ability to investigate problems, propose hypotheses, and connect analysis to decisions
• Ability to explain complex topics clearly to colleagues from different backgrounds
• Ability to manage work for multiple stakeholders, clarify priorities, agree on scope and timelines, and justify deprioritization
• Будет плюсом: experience in e-commerce, payments, support, or operations automation; building AI tools and agents for data analysis

Условия

• Compensation package includes base salary and performance-based bonuses
• Flexible hours
• Remote work is possible for 52 days per year
• Health insurance, including dental care, for employees and their children
• Daily meal allowance and 100% paid sick leave
• Relocation assistance for employees and their families
• Access to a wide range of AI tools and licenses
• Opportunities for promotion, professional training, and English and Portuguese courses
• Annual team-building activities and knowledge-sharing workshops