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Amsterdam
23 Apr 2026
Product Analyst (All Genders) logo

Product Analyst (All Genders)

HelloFresh

Amsterdam
23 Apr 2026
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Product Analyst (All Genders)

Factor Europe is scaling rapidly and seeks a high-agency Product Analyst to be the first dedicated data hire within the Product team. The role involves deep-dive customer research, building data infrastructure, and fostering a data-driven culture, requiring strong SQL, Excel/GSheets, and Python skills.

HybridContractMid LevelExcelGSheets

Product Analyst (All Genders)

Factor Europe is scaling rapidly and seeks a high-agency Product Analyst to be the first dedicated data hire within the Product team. The role involves deep-dive customer research, building data infrastructure, and fostering a data-driven culture, requiring strong SQL, Excel/GSheets, and Python skills.

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HybridContractMid LevelExcel

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: 50% office, 50% remote

Experience Required

4 years

Employment Type

Contract

Experience Level

2-4 years of experience in a Product Analytics, Data Analytics, or highly quantitative Business Intelligence role

Core Qualifications

Technical (Must-have)
ExcelGSheetsSQLPythonTableauA/B testingcohort analysis
Soft Skills
bias for actionresourcefulstorytellingbuildingintellectual curiositycustomer obsessionanalytical rigor

Preferred Qualifications

Technical (Nice-to-have)
AI tools

Key Responsibilities

  • •Perform in-depth analyses (e.g. cohort analysis, A/B tests) to evaluate the impact of product decisions on customer retention.
  • •Tackle complex research questions, translating messy data into clear narratives.
  • •Triangulate quantitative data with qualitative feedback (customer reviews, sensory testing, surveys).
  • •Proactively identify opportunities to improve customer offering through independent research.
  • •Build and maintain queries, dashboards, and automated GSheet tools for the Product team.
  • •Support creation and tracking of metrics to explain causal relationships between team actions and business performance.
  • •Automate repetitive data tasks.
  • •Build a culture of data-drivenness by promoting data literacy and best practices.
  • •Improve and automate weekly business performance review process.
  • •Serve as data champion beyond Product team, supporting cross-functional analysis with Production and Procurement.
Product AnalystData AnalyticsSQLPythonTableauA/B testingE-commerceSubscriptionConsumer ServicesHybridAmsterdam
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