aipythonsqlsnowflakestatisticsdbttableaua b testingecommercestreamlit
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль чётко описана, связана с важными коммерческими решениями и использует современный стек, но культура высокой интенсивности и четыре офисных дня в неделю могут ограничивать гибкость.
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Четыре дня в офисеВысокие ожиданияСовременный стекПонятная рольСвой продукт
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Commercial Data Analyst (E-commerce): Building commercial reporting, KPI frameworks, scalable dashboards, and automated decision-support workflows for buying and category management with an accent on retail analytics, data governance, and AI-assisted tooling. Focus on translating complex datasets into commercial recommendations, optimizing pricing and inventory, and designing reliable data products in Snowflake.
Location: Munich, Germany; four office days per week from Monday to Thursday. Work-from-anywhere is available for up to four weeks per year.
Company
hirify.global is a European premium e-commerce platform for home and living products, operating across more than 20 European countries.
What you will do
Own recurring commercial reporting and KPI frameworks covering brand performance, supplier health, category margins, sell-through, and inventory health.
Support supplier negotiations, dynamic pricing, range reviews, seasonal planning, and stock optimization through deep dives and business cases.
Identify, acquire, and transform external market and assortment data into competitor insights.
Drive commercial data governance and quality while partnering with Data Engineering on scalable Snowflake models.
Build automated workflows, AI coding agents, and scalable dashboards to reduce manual reporting and improve decision support.
Lead analytics initiatives from problem discovery and metric definition through stakeholder alignment and impact tracking.
Requirements
At least 3 years of experience in data or commercial analytics, ideally in e-commerce or retail supporting buying, merchandising, or category management.
Strong SQL skills and hands-on experience working with large, complex datasets.
Solid understanding of A/B testing and statistics, with practical experience building interactive dashboards using tools such as Streamlit or Tableau.
Ability to translate complex business questions into clear KPIs, actionable analyses, and commercially sound recommendations.
Familiarity with modern AI tools, including coding agents and LLM-assisted workflows.
Fluent English and excellent communication and presentation skills for technical and non-technical stakeholders.
Nice to have
Practical experience with dbt or Python.
Culture & Benefits
Permanent position in a high-performance culture focused on trust, feedback, collaboration, and ownership.
International, informal environment with opportunities for professional growth.
30 days of paid holiday and up to four weeks of work-from-anywhere per year.
Dog-friendly central office with collaborative spaces, terrace, and food.
Employee discounts, wellbeing support, sports memberships, preventive care, and sustainable mobility options.
Support for working parents, one annual Social Impact Day, and team events.
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