Marketing Data Analyst

vor 1 Tag

Berlin, Berlin, Deutschland HelloFresh Vollzeit

The role
As a
Marketing Data Analyst – Actives
in
Global Marketing Analytics
, you will contribute to shaping data-driven Marketing strategies focused on the existing HelloFresh customer base across 30+ markets on 3 continents. Based in our Berlin Headquarters, you'll partner closely with the Global Actives Engagement Marketing function to drive customer engagement, retention, and overall business performance.

What You'll Do

  • Support the Global Actives Engagement Marketing function: understand key business questions, translate them into analytical tasks, and deliver insights that inform strategic decision-making
  • Build and evolve reporting and visualization assets that support day-to-day decision-making and enhance global performance oversight
  • Measure, benchmark, and monitor Global Actives Engagement performance, identifying trends and opportunities to improve key customer and business KPIs
  • Contribute to analytical projects in collaboration with Marketing as well as Product and Tech stakeholders, helping to drive alignment and clarity across teams
  • Improve analytical processes by advocating for scalable, automated, and standardized solutions
  • Participate actively in the Global Marketing Analytics community, sharing knowledge and supporting team-wide best practices

What You'll Bring

  • A motivated, collaborative mindset with strong team-working skills and enthusiasm for solving business problems with data
  • 3+ years of experience in Customer Analytics, Marketing Analytics, or a related quantitative field—ideally in a fast-paced B2C or subscription business
  • A solid understanding of Customer Engagement/ Retention metrics and how they contribute to overall business performance
  • A structured, results-oriented approach with the ability to break down broad questions into clear analytical steps

  • Solid technical skills, including:

  • SQL and Spreadhseets (required)

  • Tableau or a similar visualisation tool (e.g. Looker, PowerBI)

  • Python (a plus)

  • Strong communication skills in English, with the ability to present findings clearly to non-technical audiences

  • Reliable ownership of your work, with growing confidence in stakeholder interactions and cross-functional collaboration

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