обновлено 7 дней назад
Staff Product Analyst (Vendor Growth)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Analyst (Vendor Growth) (SQL/Python): Defining product metrics, analyzing vendor behavior, and guiding experimentation for self-service vendor-facing products with an accent on causal inference, scalable analytics, and operational efficiency. Focus on designing A/B tests, building reliable data pipelines and dashboards, and mentoring analysts while influencing product decisions across Product, Tech, Operations, and Data.
Location: Hybrid role based in Berlin, Germany, with attendance at the Berlin campus two days per week
Company
Global local-delivery and quick-commerce platform operating across approximately 65 countries, with a strong focus on technology and marketplace operations.
What you will do
- Define product metrics and leading indicators for vendor health, partner satisfaction, business viability, and self-service performance.
- Use quantitative analysis to influence product roadmaps, feature adoption, and decisions about what to build.
- Design, interpret, and guide vendor-facing A/B tests and other experimentation initiatives.
- Develop scalable analytics infrastructure, self-service capabilities, data pipelines, dashboards, and data-quality practices.
- Analyze vendor behavior and contribute to predictive models that improve feature adoption and rollout strategies.
- Mentor analysts, lead high-impact projects, and promote rigorous peer review and data-driven decision-making.
Requirements
- 6+ years of experience as a Product Analyst, Data Scientist, or in a similar role, preferably in technology companies or marketplaces.
- Strong knowledge of A/B test design, causal inference, statistical analysis, and edge cases.
- Advanced SQL experience with large-scale data platforms such as BigQuery or Snowflake.
- Strong Python skills for complex analytics, automation, and data visualization.
- Experience designing, building, and optimizing data pipelines and maintaining reliable, high-quality data.
- Experience creating actionable data stories and dashboards with Tableau, Looker, or similar tools, plus mentoring junior analysts and influencing stakeholders without formal authority.
Nice to have
- Experience with vendor- or partner-centric products.
Culture & Benefits
- Hybrid working model with regular face-to-face collaboration at the Berlin campus.
- 27 days of annual leave, with an additional day during the second and third years of service.
- €1,000 educational budget, language courses, parental support, and access to Udemy Business.
- Health checkups, meditation, gym and bicycle subsidies.
- Employee share purchase plan, sabbatical bank, public transportation discount, life and accident insurance, and corporate pension plan.
- Digital meal vouchers, food vouchers, and corporate discounts.
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