product analyst for a digital marketplace

HireHi

München

Vor Ort

EUR 70.000 - 100.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Xometry ищет аналитика по продуктовой аналитике в Германии (Мюнхен). Ваша роль — определять проблемы и метрики, проектировать эксперименты и проводить анализ влияния на конверсию и выручку.

Вы будете строить дашборды в Looker, анализировать воронки и поведение пользователей, сотрудничать с PM и DWH для обеспечения качества данных.

Qualifikationen

  • Бакалавр или магистр в области Data Science, CS, IT, инженерии.
  • 3+ года опыта в продуктовой аналитике на рынках B2B/B2C.
  • Сильные навыки SQL и Python.
  • Опыт работы с BI-инструментами Looker/Tableau/Qlik.
  • Знакомство с Git/JIRA/Confluence.
  • Опыт статистического анализа и экспериментации.

Aufgaben

  • Определять проблемы, метрики успеха и гипотезы совместно с менеджерами продуктов и стейкхолдерами.
  • Предлагать эксперименты и измерять бизнес-эффект.
  • Владеть A/B-тестированием и полным циклом гипотез.
  • Формулировать гипотезы для новых функций и проектировать A/B-эксперименты.
  • Строить и анализировать воронки, поведение пользователей и производительность платформы.
  • Отслеживать KPI на протяжении жизненного цикла и отзывы клиентов.
  • Рассматривать аналитику как продукт и работать над удобством и принятием.

Kenntnisse

SQL
Python
Statistics
Experimentation
Communication
Analytical thinking

Ausbildung

Bachelor's or Master's in data science/CS/engineering

Tools

Looker
Tableau
Qlik
Git
JIRA
Confluence

Jobbeschreibung

Описание

Xometry connects people with ideas to manufacturers through a digital marketplace. Its marketplace gives manufacturers resources to grow their businesses and enables buyers at Fortune 1000 companies to access global manufacturing capacity.

Задачи
  • Define problems, success metrics, and hypotheses with Product Managers and stakeholders
  • propose experiments and measure their business impact
  • Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation
  • Formulate hypotheses for new product features, design A/B experiments, analyze results, and recommend improvements to user conversion and engagement
  • Design and analyze A/B tests for pricing models and strategies to maximize revenue while balancing conversion rates and bookings
  • Build and maintain Looker dashboards, ensuring data correctness, clarity, usability, and decision support
  • Analyze product funnels, user behavior, and platform performance—including activation, conversion, retention, and pricing effects to drive product growth, revenue, and margin
  • Track lifecycle KPIs, trends, and customer feedback, and recommend actions
  • Conduct in-depth product analysis and uncover insights not covered by self-service analytics
  • Specify data needs, validate data quality, and collaborate with DWH on marts and metrics
  • Treat analytics as a product by clarifying the “why,” simplifying solutions, and supporting usability and adoption
Требования
  • Bachelor’s or Master’s degree in Data Science, Computer Science, IT, Engineering, or a related field
  • 3+ Years of experience in product analytics, ideally within B2B/B2C marketplaces
  • Strong SQL and Python skills
  • Experience with BI tools such as Looker, Tableau, Qlik, or similar
  • Familiarity with Git, JIRA, Confluence, or equivalents
  • Solid foundations in probability and statistics
  • Hands‑on experience with statistical analysis and experimentation, including hypothesis testing, A/B test design, and power analysis
  • Experience with regression and time‑series analysis
  • Strong business sense, clear communication, structured thinking, and attention to data quality
  • Ability to decompose ambiguous requests into deliverables
  • Track record of self‑directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology
  • Fluent English with strong communication skills
  • Будет плюсом: Understanding of DWH concepts (design, data structures, ETL/ELT), applied experience with Statsig or another A/B testing platform, Russian, German or another EU language
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