Mobile Product Analyst – Data-Driven A/B & Insights

Kaufland e-commerce

United States

Remote

USD 61,000 - 94,000

Full time

3 days ago
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Benefits offered by this job

Urban Sports Club
Instahelp for mental well-being
30 days vacation
Pluxee restaurant vouchers
Deutschlandticket
Employee discount
Hardware (Mac or Lenovo)
Language learning programs
In-house training and 360-degree反馈

Job summary

Kaufland e-commerce is seeking a Product Analytics professional to drive data-informed decisions for our international mobile app. You will partner with product teams to design analytics configurations and instrumentation, enabling rapid experimentation and evidence-based product iterations.

Join a diverse, English-speaking team in Germany, with flexible remote options and opportunities for growth in analytics maturity and tech stack exposure.

Qualifications

  • 2–3 years of experience in Product Analytics for a mobile app.
  • Experience with analytics in a mobile app setting (preferably Adobe Analytics).
  • Strong communication skills and ability to align stakeholders from peers to non-technical colleagues.

Responsibilities

  • Stay user-centered with meaningful data analysis to inform product decisions.
  • Create analyses that directly impact product decisions.
  • Support product teams with analytics setups and instrumentation.
  • Contribute to A/B test design and analysis and promote a culture of experimentation.
  • Be a fully integrated team member inside product teams.

Skills

Product analytics
Adobe Analytics
SQL
Python
Communication
Stakeholder alignment
Tableau
MicroStrategy

Tools

Tableau
MicroStrategy

Job description

Kaufland e-commerce is seeking a Product Analytics professional to drive data-informed decisions for our international mobile app. You will partner with product teams to design analytics configurations and instrumentation, enabling rapid experimentation and evidence-based product iterations.

Join a diverse, English-speaking team in Germany, with flexible remote options and opportunities for growth in analytics maturity and tech stack exposure.

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