3 дня назад
Product Analytics & Experimentation Lead (E-commerce)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Analytics & Experimentation Lead (E-commerce): Building reliable product measurement and experimentation practices for digital customer experiences with an accent on behavioural analysis, metric governance, and evidence-based product decisions. Focus on designing analytical frameworks, validating tracking and data quality, and interpreting experiments to improve customer journeys.
Location: London, hybrid with office attendance 1–2 days per week
Company
develops digital products and e-commerce customer experiences.
What you will do
- Partner with Product, Data, and Engineering teams to understand customer journeys and product opportunities.
- Conduct funnel, journey, cohort, segmentation, and retention analysis.
- Translate behavioural insights into practical recommendations for product prioritisation.
- Define, maintain, and govern product and behavioural metrics across teams.
- Validate product tracking and data quality, resolving issues with Data and Engineering colleagues.
- Guide experimentation practices, including hypotheses, success metrics, test validity, and result interpretation.
Requirements
- Significant experience in Product Analytics, Customer Analytics, or a similar role in a digital product or e-commerce environment.
- Strong hands-on SQL skills and the ability to investigate data, challenge assumptions, and communicate findings clearly.
- Experience with behavioural analysis and product metric definition, maintenance, and governance.
- Experience supporting structured experimentation and interpreting test results.
- Excellent communication and collaboration skills when working with Product and cross-functional teams.
- Experience creating analytical frameworks, documentation, or resources for consistent product measurement.
Nice to have
- Working knowledge of Python.
- Experience with Mixpanel, Amplitude, or similar product analytics platforms.
- Familiarity with Snowflake, Tableau, or comparable data platforms.
- Experience with causal inference techniques such as regression, matching, difference-in-differences, or uplift modelling.
- Experience evaluating recommendation, personalisation, or AI-enabled product features.
Culture & Benefits
- Permanent employment with a competitive salary and benefits.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →