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3 дня назад

Product Analytics & Experimentation Lead (E-commerce)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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.

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